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Senior Data Scientist
About Taager
Taager is the first B2B startup specialized in supporting social sellers. We are democratizing the social e-commerce space by enabling entrepreneurs — whether beginners or experienced — to sell online without capital, inventory, or operational experience. We handle product selection, storage, logistics, payment collection, and customer service on behalf of our merchants.
Launched in 2019 with a team of just 8 people, we’ve grown to over 350 employees across Egypt, Saudi Arabia, the UAE, and more recently, Morocco. We serve over 34,000 social commerce sellers from diverse backgrounds — from students seeking side income to seasoned digital marketers aiming to become independent entrepreneurs. Our sellers have access to over 2,500 high-potential products.
Our teams are driven by our mission and deeply motivated to provide the best experience for our sellers. With a commitment to quality and operational excellence, we're transforming the social commerce landscape in the MENA region!
Our Mission
To empower anyone to start and grow their own e-commerce business.
Our Vision
We envision a world where anyone can sell online, earn a living, and even build wealth — all within a simple, low-risk environment. A world where the magic of technology is made accessible to the most talented merchants.
Why Join Taager?
- You'll work in an international environment with team members from over 10 nationalities.
- You’ll have access to a very attractive compensation plan, depending on your ability to scale.
- We invest in team development and prioritize internal promotions.
- You’ll work alongside ambitious, kind, and talented individuals.
About the Role
We are looking for a Senior Data Scientist to drive data-informed product decisions by turning complex data into actionable insights. You will collaborate closely with product, engineering, and UX teams to measure impact, run experiments, and improve product performance.
Responsibilities:
- Work closely with stakeholders across engineering, product, and UX teams to drive product decisions.
- Manipulate and translate big data into key insights to assist the development of relevant, impactful, and measurable actions.
- Design experiments and A/B testing that will enable feature teams to make effective product decisions, and help teams evaluate the results of these experiments.
- Build dynamic dashboards and visual aids to monitor platform activity and performance.
- Collaborate closely with product teams to understand and implement data requirements.
- Create data-driven product solutions for the product team leveraging shallow machine learning models.
Required skills :
- Proficiency in SQL for querying large datasets.
- Expertise in Python for data analysis and manipulation.
- Strong understanding of experimental design, statistical significance, and hypothesis testing.
- Experience designing and analyzing A/B tests.
- Strong foundation in statistics, including probability, distributions, and inferential statistics.
- Knowledge of shallow machine learning models (e.g., linear regression, logistic regression, k-means) and familiarity with machine learning libraries.
- Proficiency in visualization tools (e.g., Tableau) and building dynamic dashboards.
- Familiarity with cloud platforms (e.g., AWS, GCP).
- Ability to translate complex data into actionable insights and recommendations.
- Aptitude for identifying key issues and developing data-driven solutions.
- Excellent verbal and written communication skills to effectively convey complex data insights to non-technical stakeholders.
- Knowledge of product management and user experience principles to align data insights with business goals.
Extra skills:
- Experience with DBT and Airflow.
- Experience with ETL processes and data pipeline development.
- Experience with data warehousing solutions (e.g., Snowflake).
- Understanding of containerization technologies (e.g., Docker, Kubernetes).
- Experience in the e-commerce industry.
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