Company Description:
MaxAB is re-engineering Africa's informal retail sector through a B2B e-commerce and fintech super app. Since launching in 2018, we've connected over 150,000 traditional retailers with suppliers, delivering 2.5+ million orders across Egypt and Morocco. Our fintech business now generates more revenue than e-commerce, with over $180 million in sales last year. Following our merger with Wasoko, we're expanding across Sub-Saharan Africa.
About the Role:
We are seeking a Data Scientist with a strong passion for data-driven problem-solving. In this role, you will combine technical expertise, analytical rigor, and business acumen to develop statistical and machine learning models, derive actionable insights, and support critical decision-making processes across the organization.
What You’ll Do :
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Partner with diverse teams to design, implement, and analyze algorithms aimed at optimizing processes & commercial operations.
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Apply robust statistical techniques to uncover relationships between variables, measure the impact of business strategies on key performance indicators, and build, validate, and maintain both statistical and machine learning models.
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Analyze large datasets to extract statistically valid and business-relevant insights. Ensure that findings are effectively translated into strategic recommendations.
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Continuously evaluate model performance and refine methodologies to enhance accuracy and reliability.
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Clearly articulate insights and complex statistical concepts to both technical and non-technical stakeholders, ensuring actionable intelligence is readily understood and applied.
Educational Background:
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related quantitative field.
Professional Experience:
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A minimum of
3 years
of experience in a data-focused role.
Technical Proficiency:
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Proficient in Python and key libraries (e.g., Pandas, NumPy, Scikit-learn, Statsmodels, pytorch).
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Strong expertise in vectorization and code optimization for large-scale data processing.
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Advanced SQL skills for data querying and manipulation.
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Experience in Causal Inference & Regression Analysis.
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Experience with Web & App scraping, using Android studio or similar.
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Experience with NLP text matching.
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Experience with Deep Learning & Deep Reinforcement Learning is a plus.
Analytical & Statistical Expertise:
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Solid understanding of business analytics, statistical analysis (including causal inference, simulation, regression, clustering), with an ability to translate complex data into actionable insights.
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Understanding of the FMCG & Fintech market dynamics is a plus.
Data Visualization:
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Familiarity with data visualization tools such as Tableau and Matplotlib.
Soft Skills:
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Excellent problem-solving abilities, critical thinking, and the capacity to align technical solutions with broader business objectives. Strong communication skills are essential to effectively convey insights and drive decision-making.