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 be based in our Casablanca office with remote work options available.
• 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:

1. Work closely with stakeholders across engineering, product, and UX teams to drive product decisions.
2. Manipulate and translate big data into key insights to assist the development of relevant, impactful, and measurable actions.
3. 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.
4. Build dynamic dashboards and visual aids to monitor platform activity and performance.
5. Collaborate closely with product teams to understand and implement data requirements.
6. Create data-driven product solutions for the product team leveraging shallow machine learning models.

Required skills :

1. Proficiency in SQL for querying large datasets.
2. Expertise in Python for data analysis and manipulation.
3. Strong understanding of experimental design, statistical significance, and hypothesis testing.
4. Experience designing and analyzing A/B tests.
5. Strong foundation in statistics, including probability, distributions, and inferential statistics.
6. Knowledge of shallow machine learning models (e.g., linear regression, logistic regression, k-means) and familiarity with machine learning libraries.
7. Proficiency in visualization tools (e.g., Tableau) and building dynamic dashboards.
8. Familiarity with cloud platforms (e.g., AWS, GCP).
9. Ability to translate complex data into actionable insights and recommendations.
10. Aptitude for identifying key issues and developing data-driven solutions.
11. Excellent verbal and written communication skills to effectively convey complex data insights to non-technical stakeholders.
12. Knowledge of product management and user experience principles to align data insights with business goals.

Extra skills:

1. Experience with DBT and Airflow.
2. Experience with ETL processes and data pipeline development.
3. Experience with data warehousing solutions (e.g., Snowflake).
4. Understanding of containerization technologies (e.g., Docker, Kubernetes).
5. Experience in the e-commerce industry.