Job Description

Roles & Responsibilities

Role Purpose

Vodafone Egypt consumer marketing team seeks a Lead Data Scientist to boost business`s decisions towards a data-driven decisions.

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 being 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.
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.

Job Profile

Mentor a team of Data Scientists.
Identifying business opportunities to make a commercial difference.
leads the development of analytics initiatives to meet business requirements
Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualizing results, to create understanding and solution buy-in.
Recognized as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms and data sources.
Works closely with Technology teams to design, build, test, deploy, maintain and improve technology solutions and models.
Identifies new analytics trends and opportunities to drive the innovation agenda across business functions & Advanced Analytics.
Spread Design Thinking and Agile methodologies

Competencies and Qualifications

You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets.
You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion
Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization
Strong knowledge of Big Data technology (e.g. Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS)

Core competencies, knowledge and experience :
You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets.
You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion
Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization
Strong knowledge of Big Data technology (e.g. Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS)
Deep and broad statistical modelling expertise in various domains
Ability to work cross functional teams to translate business issues into potential analytics solutions
Excellent analytical & Presentation skills.
Ability to work in multitasks under pressure
Excellent command of English

Must have technical / professional qualifications:
Master s (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science or Engineering
Minimum of 5 years of relevant experience with a focus on advanced analytics and predictive modelling.
Competent in machine learning principles, deep learning and generative AI techniques.
Proficient in statistical packages and ML libraries (e.g. Python SciPy and Tensorflow, Spark MLlib)
Familiar with leading visualization tools (e.g. Tableau, Spotfire, Power BI)
Familiar with implementing data transformations and algorithms in common programming languages
Strong communication skills with prior experience communicating analytics results to senior management