Founded in 2018, MaxAB is a rapidly growing food and grocery B2B e-commerce and distribution platform that serves a network of traditional retailers (mom-and-pop stores) across the MENA region. Using proprietary technology, MaxAB offers a transformative pull-driven supply chain and a tech-product that empowers both traditional retailers and suppliers. MaxAB offers traditional retailers the simplicity of dealing with one supplier, transparent pricing, on-demand delivery, and a range of value-added and embedded finance solutions. Suppliers benefit from MaxAB's end-to-end supply chain solutions and business intelligence tools that allow them to accurately predict, monitor, and control the impact of their strategies in real time.
Our MaxAB talent are dedicated to uphold the MaxAB culture and values all while continuing to grow and improve services for our clients. They are innovating new ways to help improve the quality of life of the Egyptian retailer and soon to other retailers globally.
If you are passionate about working hard to make an impact and innovate new solutions, MaxAB is looking for top talent
Role Overview:
We are looking for a Junior Data Scientist with a passion for data-driven problem-solving to join our data science team. The ideal candidate should combine technical expertise, critical thinking, and a business mindset to develop and maintain statistical and machine-learning models, deliver actionable insights, and contribute to decision-making processes.
Key Responsibilities:
- Collaborate with cross-functional teams to design, implement, and analyze A/B tests and experiments with statistical rigor.
- Apply causal inference techniques to identify relationships and measure the impact of interventions or strategic decisions.
- Build, validate, and maintain statistical and machine-learning models to address key business challenges.
- Analyze and interpret experimental data, ensuring findings are statistically valid and business-relevant.
- Communicate complex statistical concepts and results clearly to both technical and non-technical stakeholders.
- Continuously monitor model performance and refine methodologies to improve accuracy and reliability.
Required Skills & Qualifications:
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related fields.
- Proficiency in Python and key libraries (e.g., Pandas, NumPy, Scikit-learn, Statsmodels).
- Solid understanding of statistical analysis, A/B testing methodologies, and causal inference.
- Advanced knowledge of SQL for data querying and manipulation.
- Familiarity with data visualization tools (e.g., Tableau, Matplotlib).
- Strong problem-solving skills and critical thinking ability.
- Demonstrated business acumen with the ability to align technical solutions with business objectives.
- Excellent communication skills to convey insights and statistical concepts clearly.