A Data Science Solution Arch plays a crucial role in helping businesses adopt data-driven solutions by
leveraging advanced analytics, machine learning, and AI technologies. They work closely with sales
teams to understand client needs and demonstrate how data science solutions can solve business
problems.

Key Responsibilities:
1. Customer Engagement:
o Engage with potential customers to understand their business challenges, data needs,
and goals.
o Gather requirements from customers to assess how data science solutions can be
applied to solve their problems.
o Conduct product demonstrations, technical presentations, and workshops to showcase
the capabilities of data science and AI solutions.
o Build relationships with key customer stakeholders, including data scientists, business
analysts, and decision-makers.

2. Solution Design
o Design data science and machine learning solutions tailored to customer-specific use
cases, leveraging tools such as Python, R, TensorFlow, and cloud-based platforms
(AWS, Azure, GCP).
o Create prototypes, proof of concepts (PoCs), and demonstrations to validate the
proposed solutions' impact on customer problems.
o Work with structured and unstructured data to build predictive models, data pipelines,
and analytical dashboards.
o Ensure the proposed solutions are scalable, secure, and integrate seamlessly with
existing systems.

3. Product Expertise:
o Maintain a deep understanding of data science methodologies, tools, and platforms.
o Stay up-to-date on the latest trends and advancements in AI, machine learning, big data,
and data analytics.
o Provide guidance on selecting appropriate algorithms, models, and statistical techniques
to solve specific business problems.
o Evaluate customer data sources to determine how they can be used for analytics and
insights.
o Strong knowledge on Major data base vendor such us (Microsoft SQL, Manago DB,
Coach base…etct
o Experience on using Visio to design solution
o Experience on building HLD
o Experience on generating the BOQ and licenses for the Database vendors.

Skills

Required Skills and Experience:

 Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
 10-15+ years of experience in data science, machine learning, AI, or analytics roles, ideally with a
focus on pre-sales or customer-facing engagements.
 Proficiency in data science programming languages and tools such as Python, R, SQL,
TensorFlow, PyTorch, and cloud-based AI platforms (AWS, GCP, Azure).
 Hands-on experience building machine learning models, data pipelines, and visualizations using
tools like Tableau, Power BI, or Jupyter notebooks.
 Strong understanding of statistical analysis, data mining, predictive modeling, and natural
language processing (NLP).
 Excellent communication and presentation skills, with the ability to explain complex technical
concepts to non-technical audiences.
 Strong business acumen and the ability to translate customer challenges into actionable data
science solutions.
Certifications (Preferred):
 Certified Data Scientist (CDS) or other recognized data science