وظائف مطور قواعد بيانات - القاهرة مصر

Job Description<br><br>Enter and update purchasing and planning data accurately on the system. Maintain and organize records, purchase orders, and inventory-related data. Review data for accuracy and report any missing or incorrect information. Support the Purchasing and Planning teams with daily administrative tasks. Prepare simple reports and Excel sheets when needed.<br><br>Requirements<br><br>0–2 years of experience in Data Entry or a similar role. Good knowledge of Microsoft Excel. Strong attention to detail and accuracy. Good organizational and follow-up skills. Good communication skills. Previous experience with ERP/Odoo is a plus.

You will build and lead the team that turns the data into something the business can actually run on. Company operates across several verticals and markets: digital goods, ticketing, travel and trading, in Iraq, the UAE and KSA. Each has grown its own reporting, its own metric definitions and its own version of the numbers, so basic questions take days and the answers do not always agree.<br>You will hire the team, own the data platform end to end, from ingestion through warehouse and modelling to the analytics layer on top, and make trusted data a capability the rest of the org can rely on rather than a queue it waits behind.<br>What you'll do Build and lead the data team: Hire, mentor and grow data and analytics engineers, and set the bar for a function that every other team depends on daily. Own the technical strategy and architecture for the data platform: Ingestion from operational systems and third parties, warehouse and modelling layer, orchestration, and the semantic layer that keeps metrics consistent across verticals. Establish a single source of truth for core business metrics: With definitions agreed with commercial, finance and product, and pipelines that make the numbers reproducible and trusted. Deliver self-serve analytics: So most questions are answered without a ticket, and the team's time goes to platform work rather than ad hoc pulls. Treat data as a product and own its reliability: Freshness SLAs, lineage, testing, and alerting that fires when something breaks upstream rather than when a stakeholder notices. Partner with security and legal on governance: Access control, retention and the handling of PII (passport and telecom identifiers) across markets with different regulatory expectations. Build the foundation the next stage depends on: Event tracking standards, the data that data science, personalisation, fraud and experimentation will need. Partner with product and engineering teams: So instrumentation and data contracts are designed into services rather than bolted on afterwards.<br>What you'll bring8+ years in software or data engineering, with 3+ years leading engineering teams, including hiring and growing engineers. Direct experience building and operating a production data platform: Batch and streaming ingestion, warehouse modelling, orchestration, and the operational discipline to keep it reliable at scale. Strong hands-on technical judgment to lead design reviews and make build-vs-buy and cost tradeoffs on warehouse and tooling spend. Deep SQL and dimensional modelling, and comfortable in a Python, Type Script, Go, Postgres and AWS environment. Track record of getting an organisation to agree on metric definitions, not just shipping pipelines. Much of this role is aligning people who currently disagree about what a number means. Governance instincts: Access, PII and retention should be treated as design inputs rather than an audit exercise. The judgment to sequence a platform build so that it has to be built without laying a foundation that will need to be torn up in a year.<br>Nice to have Experience standing up a data function from zero, or consolidating fragmented reporting across business units. Product analytics experience on e-commerce, marketplaces, payments or fintech. Experience supporting data science and ML in production: Feature pipelines, model serving or MLOps. MENA or emerging-market experience, including multi-currency and multi-market reporting.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Dubizzle Egypt is the leading marketplace for selling and buying online in the region.<br> Our aim is to upgrade people’s lives by facilitating deals and identifying attractive opportunities for both individuals and businesses.<br> Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet.<br> As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market.<br> With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.<br> As a Data Analyst, you will be in a central position, evangelising data and our methodologies to other functional analysts and stakeholders across the company.<br> You will have close interaction with teams in marketing, sales, finance, and product.<br> You will work in a fast-paced environment that is professional, international and entrepreneurial.<br> Key Responsibilities: Access data, construct and manipulate large datasets to support planned analyses using SQL, Python and similar tools.<br> Design and develop BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organisational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas.<br> Help with defining KPI metrics and drive data governance through standardisation and communication.<br> Create the documentation and presentation for management.<br> Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements.<br> Be adept at queries, report writing and presenting findings.<br> Research and validate entity data using appropriate internal and external data sources.<br> Liaise and analyse projects within the Reference Data environment.<br> Analyse, specify, test and implement interfaces, workflow solutions, and reference data solutions – An example would be regression testing systems ahead of upgrades.<br> Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of ongoing strategies.<br> Responsible for data quality and timely delivery of reports that make common business sense.<br> Participate in Analytics &amp; Reporting trainings to evangelize data across the organization.<br> Be able to work autonomously without supervision.<br> A fast paced, high performing team.<br> Comprehensive Health Insurance Life Insurance Rewards &amp; Recognitions Learning &amp; Development opportunities #Egyptdubizzle Qualifications: Bachelor’s degree in statistics, mathematics, computer science, or related field.<br> Master’s degree is a plus.<br> Experience: Minimum 3 years of work experience in analytics, having worked closely with products and commercials in an internet/e-commerce company.<br> Experience in e-commerce, internet, and/or digital media.<br> Knowledge: Extensive experience with SQL.<br> Proficient in Microsoft Excel.<br> Experience working with BI tools (e.<br>g. Looker, Periscope, Tableau, etc.<br>). Skills in Python, R or similar tools are a big plus.<br> Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, etc).<br> Skills: Good analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations.<br> Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.<br> Good attention to detail.<br> Written and verbal proficiency in English.<br> Traits: Proactive and passionate: You are independently capable of seeking information, solving conceptual problems and delivering high-quality results in challenging situations.<br> Passion for data and metrics.<br> Hands-on attitude and the ability to thrive in a fast-paced environment.<br> Highly motivated, professional, creative, proactive and able to work independently and cooperatively in a diverse group.<br> Analytical thinking, Conceptual thinking, Detail-oriented, Business Acumen.<br> Strong curiosity and striving for continuous learning.<br> Thrive in a fast-paced, innovative environment.<br> Living the team values: Simpler.<br> Better. Faster.</span> </div>

Dubizzle Egypt is the leading marketplace for selling and buying online in the region. Our aim is to upgrade people's lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet. As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs. As a Data Analyst, you will be in a central position, evangelising data and our methodologies to other functional analysts and stakeholders across the company. You will have close interaction with teams in marketing, sales, finance, and product. You will work in a fast-paced environment that is professional, international and entrepreneurial.<br>Key Responsibilities:Access data, construct and manipulate large datasets to support planned analyses using SQL, Python and similar tools. Design and develop BI dashboards using Sisense or similar tools (Tableau, Power BI, Data Studio) for various organisational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas. Help with defining KPI metrics and drive data governance through standardisation and communication. Create the documentation and presentation for management. Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements. Be adept at queries, report writing and presenting findings. Research and validate entity data using appropriate internal and external data sources. Liaise and analyse projects within the Reference Data environment. Analyse, specify, test and implement interfaces, workflow solutions, and reference data solutions - An example would be regression testing systems ahead of upgrades. Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of ongoing strategies. Responsible for data quality and timely delivery of reports that make common business sense. Participate in Analytics & Reporting trainings to evangelize data across the organization. Be able to work autonomously without supervision.<br><br>Requirements<br><br>Qualifications:Bachelor's degree in statistics, mathematics, computer science, or related field. Master's degree is a plus. Experience:Minimum 3 years of work experience in analytics, having worked closely with products and commercials in an internet/e-commerce company. Experience in e-commerce, internet, and/or digital media. Knowledge:Extensive experience with SQL. Proficient in Microsoft Excel. Experience working with BI tools (e.g. Looker, Periscope, Tableau, etc.). Skills in Python, R or similar tools are a big plus. Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, etc). Skills:Good analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations. Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Good attention to detail. Written and verbal proficiency in English. Traits:Proactive and passionate: You are independently capable of seeking information, solving conceptual problems and delivering high-quality results in challenging situations. Passion for data and metrics. Hands-on attitude and the ability to thrive in a fast-paced environment. Highly motivated, professional, creative, proactive and able to work independently and cooperatively in a diverse group. Analytical thinking, Conceptual thinking, Detail-oriented, Business Acumen. Strong curiosity and striving for continuous learning. Thrive in a fast-paced, innovative environment. Living the team values: Simpler. Better. Faster.<br><br>Benefits<br><br> A fast paced, high performing team. Comprehensive Health Insurance Life Insurance Rewards & Recognitions Learning & Development opportunities #Egyptdubizzle

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

Our Company<br><br>Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. <br><br>The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. <br><br>What You’ll Do<br><br>What the role is about:  As a Principal/Staff Data Scientist at Teradata, you will serve as a senior individual contributor responsible for defining analytical approaches, scoping complex data science projects, and delivering high-impact solutions across multiple industries. You will tackle highly complex and ambiguous problems, architect end-to-end data science workflows, and provide deep technical guidance to cross-functional teams—without direct people management responsibilities. What impact this role has:  Your expertise will shape the technical direction of data science initiatives, influence solution design across teams, and help internal and external stakeholders make well-informed decisions. By leveraging advanced modeling, statistical rigor, and deep domain insight, you will ensure that Teradata delivers scalable, high-quality analytical solutions that drive measurable business value for our clients. What success might look like:  Success in this role means independently leading the most challenging parts of data science engagements, producing reliable and scalable solutions, and serving as a trusted technical advisor to product managers, engineers, and business stakeholders. You will be recognized for your ability to translate complex business problems into well-scoped analytical strategies, and for consistently raising the technical bar across the team. <br><br>Who You’ll Work With<br><br>An outline of the team:  You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, solution architects, and business stakeholders. You will contribute as a high-level technical expert, helping teams navigate complexity and ensuring that analytical solutions are sound, scalable, and aligned with business needs. The role and the team play at Teradata:  The data science team at Teradata plays a crucial role in transforming data into strategic assets. As a Principal/Staff Data Scientist, you will influence the technical direction of projects, contribute reusable methodologies, and help shape best practices for developing advanced analytical solutions across multiple engagements. Who the position reports to: This position reports to the Data Science Team Manager. <br><br>What Makes You a Qualified Candidate<br><br>Non-negotiable qualifications:<br><br>Minimum of 8 years of experience in data science, machine learning, or applied analytics. Expertise in programming languages such as Python and SQL. Strong understanding of advanced statistical methods, machine learning, deep learning, and Gen AI techniques. Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities. Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences. <br><br>What You’ll Bring<br><br>Advanced Data Analysis and Modeling: Perform highly complex data analysis and build sophisticated predictive and prescriptive models using advanced statistical, machine learning, and deep learning techniques. Technical Leadership: Define analytical approaches, scope data science components in partnership with PMs, and lead the technical direction of projects across multiple industries. Cross-Functional Collaboration: Work closely with data engineers, product managers, and business stakeholders to align on requirements, solution direction, and implementation plans. Data Exploration: Explore large and diverse datasets to uncover insights, evaluate feasibility, and guide model and feature design. Model Deployment: Collaborate with engineering teams to implement, optimize, and maintain machine learning models in production environments, ensuring scalability, performance, and reliability. Mentorship: Provide informal technical mentoring, conduct deep code/model reviews, and guide other data scientists in best practices—without direct people management. Communication: Present complex findings, trade-offs, and solution paths to technical teams, business partners, and customer stakeholders in a clear and concise manner. Continuous Improvement: Stay current with emerging data science, machine learning, and Gen AI advancements, applying new techniques to enhance solution quality and accelerate delivery. <br><br><br><br>Why We Think You’ll Love Teradata<br><br>We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.<br><br>Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

About the Role We are looking for a Data Analyst with strong SQL, dashboarding, and business analysis skills to transform business questions into clear, actionable analytical outputs. The ideal candidate will be comfortable working across business and technical teams, translating requirements into structured analysis, building dashboards and reports, and maintaining clear documentation around business metrics, definitions, and data logic.<br>Key Responsibilities Analyze data using SQL to identify trends, opportunities, anomalies, and business issues. Build, maintain, and enhance dashboards and recurring reports for business stakeholders. Gather, refine, and document business requirements through JIRA stories, acceptance criteria, and analyst workflows. Translate business needs into structured analysis plans and measurable outputs. Create and maintain semantic definitions, metric logic, business glossary content, and knowledge documentation. Validate data quality and investigate discrepancies across systems, dashboards, and reporting layers. Present analytical findings through clear summaries, visualizations, and actionable recommendations. Partner with Product, Engineering, Data, and Business teams to improve reporting clarity and data understanding. Ensure analytical outputs are accurate, well-documented, and aligned with business objectives.<br>Requirements Must-Have Skills3+ years of experience in Data Analysis, Business Intelligence, Analytics, or a related field. Strong SQL skills with experience working with large datasets. Hands-on experience building dashboards using Tableau, Power BI, or similar BI platforms. Experience documenting requirements using JIRA, user stories, acceptance criteria, or similar methodologies. Strong business acumen with the ability to understand business questions and translate them into analytical solutions. Excellent written communication skills, particularly in documenting semantic definitions, metric logic, and business knowledge. Strong attention to detail and structured problem-solving skills. Ability to quickly understand business context, data structures, and analytical requirements. Ability to produce clear, actionable analysis with minimal ramp-up time. Strong ability to bridge communication between business and technical teams.<br>Nice-to-Have Skills Experience with semantic layers, KPI frameworks, or data modeling concepts. Familiarity with Agile/Scrum delivery environments. Experience collaborating with both technical and non-technical stakeholders. Experience working with business glossaries, data catalogs, or knowledge management practices.<br>What We're Looking For The ideal candidate is a business-oriented Data Analyst who can work independently, ask the right questions, and turn complex data into insights that stakeholders can understand and act upon. Strong communication, documentation, and analytical thinking are just as important as technical SQL and BI skills.

About the Role We are looking for a Business Data Analyst to join our Data Management and AI team and support data-driven decision-making across our digital banking platform. In this role, you will work closely with business stakeholders and technical teams to translate business questions into measurable metrics, build dashboards, and ensure that data insights support business objectives. This position is ideal for a junior analyst who is passionate about data, analytics, and financial technology and wants to grow within a fast-paced fintech environment. Team Overview The Data Management and AI team works across the entire technology stack at QNBeyond Plus, enabling advanced analytics, reporting, and AI-driven insights. Our team collaborates with multiple technology and business teams to manage, analyze, and serve data that helps deliver innovative digital banking experiences for our customers. Key Responsibilities Business & Data Collaboration Act as a bridge between business stakeholders and data teams. Gather and document reporting and analytics requirements. Translate business questions into metrics, KPIs, and analytical insights. Analytics & Reporting Design and develop dashboards and reports to support business decisions. Validate that analytical outputs accurately answer business needs. Data Analysis Analyze business data to identify patterns, trends, and opportunities. Support teams in using data to improve customer experience and operational performance. Stakeholder Engagement Lead analytical initiatives and influence stakeholders with data insights. Ensure effective communication between business teams and technical teams. What We Are Looking For You must be:Self-motivated, proactive, and results-driven A team player who enjoys collaboration and learning A problem solver who approaches challenges with analytical thinking Customer-oriented, committed to delivering valuable insights Detail-oriented, especially regarding data quality and compliance Adaptable and eager to grow in a fast-paced fintech environment Qualifications Technical Skills Strong knowledge of SQLGood understanding of data modeling concepts Knowledge of business intelligence tools is a plus Professional Skills Strong verbal and written communication skills Experience with requirements gathering and documentation Basic leadership or initiative-taking capabilities Domain Knowledge Knowledge of banking or financial services is a plus Experience working in regulated environments or PCI/DSS compliance is advantageous Experience2+ years of experience in data analysis, business analysis, or system analysis At least 1 year of experience in fintech or regulated environments is preferred

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Envision Employment Solutions is currently looking for a Senior Data Scientist - AI &amp; ML Engineer for one of our partners, a global leader in consulting, digital transformation, technology and engineering services!<br> About: The Senior Data Scientist - AI &amp; ML Engineer will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.<br> Responsibilities: AI &amp; Machine Learning Development Design, develop, and deploy AI and machine learning solutions that address business needs.<br> Build and implement Agentic AI applications using modern AI frameworks.<br> Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.<br> Optimize models to improve accuracy, scalability, and performance in production environments.<br> Implement model monitoring, drift detection, and retraining strategies.<br> Data Engineering &amp; MLOps Design scalable data pipelines to support machine learning workloads.<br> Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.<br> Develop and maintain ML-focused CI/CD pipelines.<br> Implement model versioning, automated testing, and deployment best practices.<br> Support containerized and cloud-native ML deployments.<br> Cloud &amp; Solution Architecture Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.<br> Architect scalable infrastructure to support enterprise AI applications.<br> Recommend technology solutions aligned with business and technical requirements.<br> Ensure AI solutions meet security, reliability, and performance standards.<br> Collaboration &amp; Leadership Partner with business stakeholders to understand objectives and translate them into technical solutions.<br> Collaborate with cross-functional teams throughout the solution lifecycle.<br> Mentor junior data scientists and ML engineers.<br> Promote best practices in machine learning, software engineering, and MLOps.<br> Stay informed about emerging AI technologies and industry trends.<br> 6-10 years of experience working with complex datasets and solving real-world business problems using AI Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.<br> Strong proficiency in Python, data science and machine learning libraries (e.<br>g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.<br>g. LangChain, LangGraph).<br> Strong command of SQL and experience with large-scale data processing tools (e.<br>g., Spark, Pandas).<br> Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.<br> Skilled in MLOps practices including CI/CD, containerization (e.<br>g. Docker), and orchestration (Kubernetes).<br> Strong command of Git and collaborative development workflows.<br> Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.<br> Fluent in Arabic &amp; English, both spoken and written (German is a plus!<br>) Able to listen to and understand customer needs and articulate them as technical requirements to the team.<br> Strong problem-solving abilities and attention to detail.<br> Strategic thinking with the ability to align data science initiatives with business objectives.<br> Strong leadership and team management skills with the ability to inspire and motivate.<br> Ability to work collaboratively in a team environment.<br> Self-motivated with a strong growth mindset.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential. Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required)</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>What We Do</p><p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project.</p><p>As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p><p>Key Responsibilities:</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p>Project time expectations</p><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p>Compensation</p><p>On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Requirements:</p><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li><li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.</li><li>We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.</li><li>A methodical, detail-oriented approach and the ability to work independently are essential.</li><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><b>Job Purpose</b></p><p>Support the commercial departments with proper segmentation and data mining models to achieve Etisalat revenue growth, retain and enhance customers’ experience.</P><p><b>Report To Position Name</b></p><p> Avail group of segmentation (Micro segmentation, value driven and behaviour driven) through communicating with the concerned departments to support the commercial departments in the approaching decision making Monitor and validate specified customer data through SAP business object tool to provide the concerned departments with data accessibility to accelerate their job. Enhance all Etisalat Segments and models through revaluation of current market behaviour to ensure the accuracy and applicability of segments and models. Provide the concerned departments with the available data mining models and segments through conducting training sessions to help them to increase Etisalat subscriber revenue </p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><span><strong>Job Purpose:</strong></span></span></p><br><p><span><span><strong>Management</strong>:</span></span></p><br><ul><li><p><span><span>To Strategize, develop and implement Data Privacy/Protection Controls in coordination with stakeholders across the Organization globally.</span></span></p><br></li><li><p><span><span>To ensure compliance of the Organization with the defined policy &amp; framework with a data driven approach</span></span></p><br></li></ul><p><span><span><strong>Execution</strong></span></span></p><br><ul><li><p><span><span>To ensure that the Privacy operations are executed effectively in a timely manner and with required quality</span></span></p><br></li><li><p><span><span>Assists in the development and implementation of Data Protection strategic initiatives. Leads all Data protection related tasks with effective monitoring and protection of information security assets.</span></span></p><br></li></ul><p><span><span>Senior Manager – Data Privacy has overall responsibility to coordinate and support the Head of Data Privacy and Protection to achieve organization’s Protection strategy and goals.&nbsp;</span></span></p><br><p><span><span>He/she is a T-Shaped expert with proven skills in most core capability areas of Data Protection and security: Policy, Governance, Protection Strategy &amp; Program Management.&nbsp;</span></span></p><br><p><span><span>Performance evaluation of the role will be based on the positive impact on the bank in terms of Data protection posture enhancement rather than the effort put in place.</span></span></p><br><p><span><span><strong>Key Result Areas:</strong></span></span></p><br><p><span><span><strong>Policy and Documentation</strong></span></span></p><br><ul><li><p><span><span>Creation of privacy policies, strategies, and procedures that align with Mashreq bank’s business objectives and regulatory requirements.</span></span></p><br></li><li><p><span><span>Collaborate with the legal team to develop and update data protection policies, procedures, and guidelines.&nbsp;</span></span></p><br></li><li><p><span><span>Work with product teams to integrate privacy-by-design principles into the development lifecycle of gaming products and services.&nbsp;</span></span></p><br></li><li><span><span>Implementing Mashreq bank’s approach to data privacy as it applies to our internal and business practices in Asia and other geographies.</span></span></li><li><p><span><span>Collaborating with cross-functional teams to support data privacy strategies and ensuring that the policy impacted processes, practices and systems are compliant with the applicable data privacy regulations.</span></span></p><br></li></ul><p><span><span><strong>Privacy Impact Assessment</strong></span></span></p><br><ul><li><p><span><span>Conduct DPIAs to identify and mitigate risks associated with data processing activities, particularly those involving personal data.&nbsp;</span></span></p><br></li><li><p><span><span>Guide product teams on implementing measures to minimize privacy risks.&nbsp;</span></span></p><br></li><li><span><span>Document action plans to address identified privacy risks and maintain an up-to-date privacy risk register.</span></span></li></ul><p><span><span><strong>Consent Management</strong></span></span></p><br><ul><li><p><span><span>Enable universal consent management oversight</span></span></p><br></li><li><p><span><span>Ensuring consent being recorded and mapping with jurisdictional requirements</span></span></p><br></li><li><p><span><span>Migration of old consent to new preference center</span></span></p><br></li></ul><p><span><span><strong>Data Subject Rights Management</strong></span></span></p><br><ul><li><p><span><span>Develop workstream for handling Data Subject Rights</span></span></p><br></li><li><p><span><span>Periodic monitoring of the Grievance redressal mailbox</span></span></p><br></li><li><p><span><span>Ensure Request Facilitation with documentation &amp; Response.</span></span></p><br></li><li><p><span><span>Validation of Data Subject rights form</span></span></p><br></li><li><p><span><span>Monitor closure of Dat Subject Rights request</span></span></p><br></li></ul><p><span><span><strong>Incident Management</strong></span></span></p><br><ul><li><p><span><span>Act as the point of contact for data protection incidents and breaches, coordinating response efforts and ensuring timely reporting to relevant authorities and affected individuals.&nbsp;</span></span></p><br></li><li><p><span><span>Ensure collaboration with cross-functional teams to investigate incidents, assess impact, and implement remediation measures.&nbsp;</span></span></p><br></li><li><p><span><span>Establish a&nbsp;procedure for ensure statutory reporting</span></span></p><br></li><li><p><span><span>Ensure establishment of responding to data principals in case of Data Breach</span></span></p><br></li></ul><p><span><span><strong>Compliance&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</strong></span></span></p><br><ul><li><p><span><span>Stay up to date with relevant data protection laws and regulations in India and other jurisdictions where we operate.&nbsp;</span></span></p><br></li><li><p><span><span>Lead our data processing activities comply with applicable laws, including but not limited to the Personal Data Protection Law (PDPL), GDPR, and other relevant regulations.&nbsp;</span></span></p><br></li><li><p><span><span>Conduct periodic assessments and audits to identify and address compliance risks.&nbsp;</span></span></p><br></li><li><span><span>Act as the point of contact for internal and external data protection audits</span></span></li><li><span><span>Lead and manage cross-functional meetings to align teams on data privacy objectives and facilitate discussions.</span></span></li><li><span><span>Exhibit strong presentation skills to convey concepts and initiatives clearly to internal and external stakeholders.&nbsp;</span></span></li><li><p><span><span>Lead privacy training programs for employees to build a privacy-centric culture and ensure a deep understanding of privacy practices throughout the organization.</span></span></p><br></li><li><p><span><span>Developing, implementing, and driving organization's privacy projects and strategies and managing privacy compliance programs.</span></span></p><br></li><li><p><span><span>Support across all stages of implementation including review, preparation, storage and transfer and legal readiness.&nbsp;</span></span></p><br></li><li><p><span><span>Regularly reviewing and evaluating compliance processes to guarantee best practice across all areas of the organization ensuring appropriate monitoring and auditing processes are effectively implemented.</span></span></p><br></li><li><p><span><span>Assisting in managing data subject requests, including requests for access, rectification, erasure, and restriction of processing.</span></span></p><br></li></ul><p><span><span><strong>General</strong></span></span></p><br><p><span><span><strong>Tools &amp; Technologies</strong></span></span></p><br><ul><li><p><span><span>Understand the requirements of the bank and prepare a list of tools (Privacy Enhancing Technologies) required for automating privacy operation.</span></span></p><br></li><li><p><span><span>Incorporate skills sets of implementing PET operations to enhance compliance with privacy required.</span></span></p><br></li><li><p><span><span>Regularly review the effectiveness of the PET on the required privacy control.</span></span></p><br></li></ul><p><span><span><strong>Key Principles:</strong></span></span></p><br><ul><li><p><span><span>Alignment with Business Priorities: The Senior Manager - Data Protection aligns his actions and those of his departments’ with the strategic objectives of the business.</span></span></p><br></li><li><p><span><span>Ownership and Accountability: The Senior Manager - Data Protection takes full responsibility for his activities and his department’s, holding himself and his team accountable for their outcomes.&nbsp;</span></span></p><br></li><li><p><span><span>Driving Data Protection Maturity Enhancement: The Senior Manager - Data Protection proactively drives initiatives that enhances Data Protection Maturity.&nbsp;</span></span></p><br></li><li><p><span><span>Focus on Outputs and Impact: The Senior Manager - Data Protection focuses on delivering outputs that create meaningful impact such as enhanced security posture of the bank.&nbsp;</span></span></p><br></li><li><p><span><span>Innovation and Automation: The Senior Manager - Data Protection continuously seeks innovative solutions and automate processes for efficiency.</span></span></p><br></li><li><p><span><span>Incident readiness: The Senior Manager - Data Protection ensures the organizations’ readiness to any data breaches or other similar incidents, minimizing business and customer impact.</span></span></p><br></li></ul><p><span><span><strong>Operating Environment, Framework and Boundaries, Working Relationships:</strong></span></span></p><br><ul><li><p><span><span>Operating environment consists of all Groups across the Mashreq Bank (onshore, overseas &amp; offshore) as well as any outsourced setups.</span></span></p><br></li><li><p><span><span>Leadership team to formalize and finalize the Data Protection framework for the Organization.</span></span></p><br></li><li><p><span><span>Discussions in Steering Committee, Governance meetings. Meetings with Senior</span></span></p><br></li><li><p><span><span>Management and Leadership team of Mashreq Bank.</span></span></p><br></li><li><p><span><span>Manage Communication with Local Regulatory bodies.</span></span></p><br></li></ul><p><span><span><strong>Problem Solving:</strong></span></span></p><br><ul><li><p><span></span></p></li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br> <p><span>Yassir is seeking a highly skilled and motivated Senior Data Scientist, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.</span></p><br> <br><br><p><b>About the Team</b></p><br><ul><li>The AI team is part of Yassir’s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!<br></li></ul><br><p><b>Responsibilities</b></p><br><ul> <li> <p>Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it.</p><br> </li> <li> <p>Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others.</p><br> </li> <li> <p>Identify and propose ML opportunities related to your scope and beyond</p><br> </li> <li> <p>Support with requirements definition and prioritization of ML projects</p><br> </li> <li> <p>Collaborate with cross-functional Engineering and Product teams</p><br> </li> <li> <p>Champion Data Quality as a critical input component to all ML solutions and Analytics</p><br> </li> <li> <p>Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering</p><br> </li> <li> <p>Utilize Statistical and ML techniques, as appropriate, for model training</p><br> </li> <li> <p>Validate and tune ML models</p><br> </li> <li> <p>Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights</p><br> </li> <li> <p>Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift</p><br> </li> <li> <p>Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting</p><br> </li> <li> <p>Maintain and improve technical documentation of delivered solutions</p><br> </li> <li> <p>Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams</p><br> </li> <li> <p>Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities</p><br> <br></li> </ul><br><p><b>Key Requirements - Essential</b></p><br><ul> <li><ul> <li> <p><span>Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics</span></p><br> </li> <li> <p><span>Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)</span></p><br> </li> <li> <p><span>Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.</span></p><br> </li> <li> <p><span>Comfortable with key Statistical concepts, such as statistical testing and causal analysis</span></p><br> </li> <li> <p><span>Analytical thinking and problem solving skills</span></p><br> </li> <li> <p><span>Engineering mindset focused towards delivering robust applied data science solutions</span></p><br> </li> <li> <p><span>Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling</span></p><br> </li> <li> <p><span>Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred</span></p><br> </li> <li> <p><span>Mastering of the end-to-end (ML) model development lifecycle</span></p><br> </li> <li> <p><span>Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English</span></p><br> </li> <li> <p><span>Positive attitude and resilience</span></p><br> </li> <li> <p><span>Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building</span></p><br> </li> <li> <p><span>Internal drive, self-motivation and ability to work independently including own effective project management</span></p><br> </li> </ul><br></li></ul><br><p><b>Nice to have</b></p><br><ul> <li><ul> <li> <p><span>Experience with Financial Services companies</span></p><br> </li> <li> <p><span>Experience working on ML features for Digital Products (apps, websites)</span></p><br> </li> <li> <p><span>Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects</span></p><br> </li> </ul><br></li></ul><br> </div>

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Role purpose</h4> <p>Vodafone Egypt consumer marketing team seeks a Senior Data Scientist to boost business decisions towards data-driven outcomes.</p> <p>As part of our Data Science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems, and be positioned as the local technical expert. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers.</p> <p>Your work will directly impact millions of our customers in the form of products, services, and offers. You will gain hands-on experience with Vodafone’s huge volume of data and large-scale computing resources.</p> <h4>Key accountabilities</h4> <ul> <li>Identifying business opportunities to make a commercial difference.</li> <li>Leads the development of analytics initiatives to meet business requirements.</li> <li>Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results to create understanding and solution buy-in.</li> <li>Recognised as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms, and data sources.</li> <li>Works closely with technology teams to design, build, test, deploy, maintain, and improve technology solutions and models.</li> <li>Identifies new analytics trends and opportunities to drive the innovation agenda across business functions and advanced analytics.</li> <li>Promotes design thinking and agile methodologies.</li> </ul> <h4>Core competencies</h4> <p>You should be passionate about working with huge data sets and love bringing datasets together to answer business questions. You should have deep expertise in the creation and management of datasets.</p> <p>You should be detail-oriented and have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks, and drive them to completion.</p> <p>Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization.</p> <ul> <li>Strong knowledge of big data technology (e.g., Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS).</li> <li>Deep and broad statistical modelling expertise in various domains.</li> <li>Ability to work with cross-functional teams to translate business issues into potential analytics solutions.</li> <li>Excellent analytical and presentation skills.</li> <li>Ability to multitask and work under pressure.</li> <li>Excellent command of English.</li> </ul> <h4>Technical and professional qualifications</h4> <ul> <li>Master’s degree (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science, or Engineering.</li> <li>Minimum of 3 years of relevant experience with a focus on advanced analytics and predictive modelling.</li> <li>Competent in machine learning principles, deep learning, and generative AI techniques.</li> <li>Proficient in statistical packages and machine learning libraries (e.g., Python SciPy and TensorFlow, Spark MLlib).</li> <li>Familiar with leading visualisation tools (e.g., Tableau, Spotfire, Power BI).</li> <li>Familiar with implementing data transformations and algorithms in common programming languages.</li> <li>Strong communication skills with prior experience communicating analytics results to senior management.</li> </ul> <h4>Who we are</h4> <p>We are a leading international telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology, we empower people, connecting everyone regardless of who they are or where they live, and we protect the planet whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds, and cultures. We're committed to increasing diversity, ensuring equal representation, and making Vodafone a place everyone feels safe, valued, and included.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br><br><p><b>Responsibilities</b></p><br><ul> <li>Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics.</li> <li>Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics.</li> <li>Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes.</li> <li>Serve as a data ambassador, promoting a data-driven marketing culture within the organization.</li> <li>Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders.</li> <li>Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts.</li> <li>Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies.</li> <li>Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions.<br></li> </ul><br><p><b>Requirements</b></p><br><ul> <li>Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.</li> <li>A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns.</li> <li>Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li> <li>Language skills : French and English (fluent) , Arabic is an advantage<br></li> </ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Build the function.<br> Be its first practitioner.<br> Zero models in production.<br> That is the honest starting line, and it is also the offer.<br> DigitalZone has the parts most companies are still fighting for: a unified warehouse, data engineering and analytics teams already running, and behavioural and transaction data from a digital goods business, a ticketing platform and a regulated trading venue.<br> What it does not have is a single model deciding anything.<br> Nothing scores fraud risk, nothing forecasts demand, nothing chooses what a customer sees next.<br> You are the first data science hire.<br> You will build the team, set how it works, and personally be the data scientist for Platform: payments, identity and marketing technology.<br> You report directly to the executive who owns Product and Data, so the distance between your finding and a decision is one conversation.<br> It also means there is nobody to hide behind when a model does not work.<br> The hard part Fraud in a cash-heavy market with agent networks and chargeback exposure does not sit still.<br> Your model will be adversarial from day one, and the threshold you set is a live tradeoff between loss prevented and customers blocked.<br> That call will be yours to make and yours to defend.<br> Identity is the other half.<br> Customer records arrive from several products and a partner login, and resolving them into one trustworthy profile is what makes personalisation, risk scoring and half the company's roadmap possible.<br> Nobody has done it yet.<br> What you'll do Build the function from one person to a team: charter, hiring, and the standard for how a model is specified, validated, shipped, monitored and retired.<br> Own fraud detection as a product: transaction and payment risk scoring, chargeback and refund abuse, account takeover, promo abuse, agent and merchant anomaly detection.<br> Set the thresholds with fraud and operations, and defend the loss-versus-friction tradeoff.<br> Own the modelling side of identity management: identity resolution and record linkage across sources, deduplication and match confidence, profile completeness scoring, and the unified customer profile that both personalisation and risk read from.<br> Drive the next-best-action and segmentation layer behind personalised customer communication.<br> Get models into production and keep them there, with the cloud team on serving and MLOps: monitoring, drift, retraining, rollback, and one measurable business outcome per model you are willing to be judged on.<br> Own the planning models: demand and stock forecasting, predictive budget, category and SKU level targets, churn and lifetime value.<br> Own experiment design across product and marketing: hypothesis, minimum detectable effect, decision rule, and honest readouts including the null ones.<br> Agree the boundary with data engineering and analytics.<br> It is not settled today.<br> Settling it is part of the job.<br> Bring stakeholders a decision, not a notebook.<br> Definitions come from the company metric contract, and an unvalidated figure does not become a fact by appearing in a deck.<br> Immediate, large-scale impact on a high-growth business Top-of-the-market compensation packages Work alongside top regional talent, with team members from Talabat, Careem, Etisalat, and more What you'll bring 7+ years in data science, 2+ leading or mentoring scientists.<br> Having been the first or second scientist somewhere counts double.<br> Models in production with a measured business outcome.<br> Hard requirement: live traffic, monitored, effect quantified.<br> A portfolio of notebooks is not this.<br> Fraud or risk modelling depth, plus at least one of: identity resolution and entity matching, forecasting, churn and lifetime value, personalisation, uplift modelling, causal inference.<br> Strong SQL against large transaction and event data in a columnar warehouse, strong Python, and code someone else can run next quarter.<br> Experimental and causal rigour, including quasi-experimental methods where randomisation is not possible.<br> Consumer fintech or payments fluency: transactions, funnels, cohorts, fraud patterns.<br> The ability to align product, engineering, marketing and commercial on one problem definition before any modelling starts.<br> AI-assisted working, with the rule that you never ship output you cannot explain.<br> Nice to have Built a data science function from zero, including the first hires and the first deployment path.<br> Fraud or payment risk in a market with cash-heavy behaviour, chargeback exposure or agent networks.<br> Identity graph, KYC or customer data platform experience.<br> MENA or emerging-market consumer data, with the data quality reality that comes with it.<br> Arabic. What we will not pretend There is no team yet, no serving infrastructure you can lean on, and no data science rubric to hide behind.<br> The first six months are you, a warehouse and a lot of stakeholder conversations.<br> What you get in return is a blank page at a company that has already decided models matter, and the rare chance to be judged on outcomes you defined yourself.<br> If you want to join a mature data science org, this is the wrong role.<br> If you want to be the reason one exists, apply.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><em>At Sana Commerce, we’re committed to creating an inclusive environment because we know our diverse workforce is one of our greatest strengths.</em>&nbsp;</p><br><p>We're on a mission to transform the way B2B companies buy and sell. Built for manufacturers, distributors, and wholesalers running SAP or Microsoft Dynamics, our platform helps customers create seamless digital buying experiences powered by their ERP.</p><br><p>We're&nbsp;looking for a Data Analyst to join our Finance team. In this role,&nbsp;you'll&nbsp;transform financial and operational data into clear, actionable insights that help our business make better decisions. Working closely with FP&amp;A,&nbsp;Professional Services, Customer&nbsp;Success&nbsp;and other business teams,&nbsp;you'll&nbsp;own reporting,&nbsp;creating&nbsp;and&nbsp;improving&nbsp;dashboards, and help make our data easier to understand and trust.</p><br><br>Job Description<br><p><strong>What you'll be doing</strong></p><br><p>As a Data Analyst,&nbsp;you'll&nbsp;play a key role in supporting Finance and the wider business with reliable reporting and meaningful insights.&nbsp;You'll&nbsp;improve existing reports, build new dashboards, and help stakeholders understand the story behind the numbers.&nbsp;</p><br><p><em>Reporting &amp; Analytics&nbsp;</em></p><br><ul><li>Build,&nbsp;maintain&nbsp;and improve Power BI dashboards and reports for Finance and other business functions.&nbsp;</li><li>Deliver reporting on key business metrics such as ARR, MRR, profitability,&nbsp;ROI&nbsp;and customer performance.&nbsp;</li><li>Translate business questions into clear reports and visualizations that support data-driven decision making.&nbsp;</li><li>Continuously improve existing reports by making them more user-friendly,&nbsp;accurate&nbsp;and actionable.&nbsp;</li></ul><p><em>Data Management&nbsp;</em></p><br><ul><li>Build and&nbsp;maintain&nbsp;data models using Power Query.&nbsp;</li><li>Combine and transform data from multiple business systems, including Microsoft Dynamics 365 Business Central,&nbsp;CRM&nbsp;and billing platforms.&nbsp;</li><li>Ensure reporting is based on consistent,&nbsp;reliable&nbsp;and well-understood data.&nbsp;</li><li>Act as the technical owner of Microsoft Dynamics 365 Business Central within Finance, supporting reporting improvements, system enhancements, and data quality initiatives.&nbsp;</li><li>Work closely with IT and Data Engineering to understand data sources and improve data quality where needed.&nbsp;</li></ul><p><em>Business Partnering&nbsp;</em></p><br><ul><li>Collaborate with Finance, Customer&nbsp;Success&nbsp;and other departments to understand reporting needs.&nbsp;</li><li>Explain calculations,&nbsp;KPIs&nbsp;and data sources to business stakeholders in a clear and accessible way.&nbsp;</li><li>Support ad hoc analyses and provide insights that help improve business performance.&nbsp;</li><li>Stay curious about&nbsp;new technologies, including Microsoft 365 Copilot and AI-powered productivity tools, and explore how they can help simplify Finance workflows.&nbsp;</li></ul><br>Qualifications<br><p><strong>What&nbsp;you'll&nbsp;bring&nbsp;</strong></p><br><ul><li>3-5 years of experience as a Data Analyst, BI Analyst or in a similar analytics role.&nbsp;</li><li>Strong hands-on experience with both <strong>Power BI and Power Query</strong>&nbsp;is&nbsp;required.&nbsp;</li><li>Experience working with financial or operational reporting.&nbsp;</li><li>Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central.&nbsp;</li><li>Strong analytical skills and the ability to translate complex data into meaningful business insights.&nbsp;</li><li>(Near)&nbsp;native English&nbsp;and&nbsp;excellent&nbsp;communication skills with the confidence to explain reports,&nbsp;calculations&nbsp;and data to non-technical stakeholders.&nbsp;</li><li>A proactive mindset with the ability to work independently and take ownership of reporting.&nbsp;</li></ul><br>Additional Information<br><p><strong>Why&nbsp;you'll&nbsp;love working here&nbsp;</strong></p><br><ul><li><strong>Make an impact</strong>&nbsp;– Own reporting that directly influences business decisions across Finance and other departments.&nbsp;</li><li><strong>Grow your&nbsp;expertise&nbsp;</strong>– Expand your skills across business analytics, financial reporting and modern data tools while working alongside experienced Finance and Data professionals.&nbsp;</li><li><strong>Hybrid flexibility</strong>&nbsp;– Work from our Alexandria office three days per week and from home two days.&nbsp;</li><li><strong>Shape the future</strong>&nbsp;– Join us as we continue to invest in and grow our Alexandria office, helping to improve reporting, automate processes, and build smarter ways of working across the business.&nbsp;</li></ul><p><strong>Our values&nbsp;</strong></p><br><p>At Sana Commerce, our values guide everything we do:&nbsp;</p><br><ul><li><strong>Champions of Our League</strong>&nbsp;– We balance quick wins with long-term success.&nbsp;</li><li><strong>Supercharge Our Customers&nbsp;</strong>– We help our customers succeed by continuously improving their digital commerce experience.&nbsp;</li><li><strong>Determined to Grow</strong>&nbsp;– We embrace challenges and keep raising the bar.&nbsp;</li><li><strong>Bold Together</strong>&nbsp;– We achieve more by supporting one another.&nbsp;</li></ul><p>Ready to turn data into meaningful business insights?&nbsp;We'd&nbsp;love to hear from you.&nbsp;</p><br><p>Job descriptions can be tough to interpret. Even if you may not tick all the boxes, please explain your motivation for the role of Data Analyst in a cover letter, we strongly encourage you to apply if you still feel like you are a great match for this role. <strong>Apply now!</strong>&nbsp;</p><br><br><br> </div>

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Role purpose</h4> <p>Vodafone Egypt consumer marketing team seeks a lead data scientist to boost business’s decisions towards data-driven decision making.</p> <p>As part of our data science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems, and be positioned as the local technical expert. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers.</p> <p>Your work will directly impact millions of our customers in the form of products, services, and offers. You will gain hands-on experience with Vodafone’s huge volume of data and large-scale computing resources.</p> <h4>Job profile</h4> <ul> <li>Mentor a team of data scientists.</li> <li>Identify business opportunities to make a commercial difference.</li> <li>Lead the development of analytics initiatives to meet business requirements.</li> <li>Translate complex datasets into strategic insights for the business and communicate simply to non-technical audiences, visualizing results to create understanding and solution buy-in.</li> <li>Be recognized as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms, and data sources.</li> <li>Work closely with technology teams to design, build, test, deploy, maintain, and improve technology solutions and models.</li> <li>Identify new analytics trends and opportunities to drive the innovation agenda across business functions and advanced analytics.</li> <li>Promote design thinking and agile methodologies.</li> </ul> <h4>Competencies and qualifications</h4> <ul> <li>Be passionate about working with huge data sets and love bringing datasets together to answer business questions. Have deep expertise in creation and management of datasets.</li> <li>Be detail-oriented with an aptitude for solving unstructured problems. Work in a self-directed environment, own tasks, and drive them to completion.</li> <li>Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization.</li> <li>Strong knowledge of big data technology (e.g., Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS).</li> </ul> <h4>Core competencies, knowledge and experience</h4> <ul> <li>Passion for working with large data sets and bringing datasets together to answer business questions with deep expertise in dataset creation and management.</li> <li>Detail-oriented with aptitude for solving unstructured problems, working independently, owning tasks, and driving them to completion.</li> <li>Ability to test hypotheses from raw data sets, draw meaningful conclusions, and communicate results effectively verbally, in writing, and through visualization.</li> <li>Strong knowledge of big data technologies such as Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, and GIS.</li> <li>Deep and broad statistical modelling expertise in various domains.</li> <li>Ability to work with cross-functional teams to translate business issues into potential analytics solutions.</li> <li>Excellent analytical and presentation skills.</li> <li>Ability to multitask under pressure.</li> <li>Excellent command of English.</li> </ul> <h4>Must have technical / professional qualifications</h4> <ul> <li>Master’s degree (or equivalent) in quantitative fields like mathematics, statistics, computer science, or engineering.</li> <li>Minimum of 5 years of relevant experience with a focus on advanced analytics and predictive modelling.</li> <li>Competent in machine learning principles, deep learning, and generative AI techniques.</li> <li>Proficient in statistical packages and machine learning libraries (e.g., Python SciPy and TensorFlow, Spark MLlib).</li> <li>Familiar with leading visualization tools (e.g., Tableau, Spotfire, Power BI).</li> <li>Familiar with implementing data transformations and algorithms in common programming languages.</li> <li>Strong communication skills with prior experience communicating analytics results to senior management.</li> </ul> <h4>Not a perfect fit?</h4> <p>Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p> <h4>Who we are</h4> <p>We are a leading international telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live, and we protect the planet whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds, and cultures. We're committed to increasing diversity, ensuring equal representation, and making Vodafone a place everyone feels safe, valued, and included.</p> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to the relevant guidance provided by Vodafone.</p> <p><strong>Together we can.</strong></p></p><p></p>