Junior Data Scientist

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.

Overview

We are seeking a Junior 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.

Key Responsibilities

• Partner with diverse teams to design, implement, and analyze algorithms aimed at optimizing commercial and pricing operations.
• 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.
• Analyze large datasets to extract statistically valid and business-relevant insights. Ensure that findings are effectively translated into strategic recommendations.
• Continuously evaluate model performance and refine methodologies to enhance accuracy and reliability.
• Clearly articulate insights and complex statistical concepts to both technical and non-technical stakeholders, ensuring actionable intelligence is readily understood and applied.
  
  

Required Skills & Qualifications

• Educational Background: Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Professional Experience: A minimum of 2 years of experience in a data-focused role.
• Technical Proficiency:
• Proficient in Python and key libraries (e.g., Pandas, NumPy, Scikit-learn, Statsmodels).
• Strong expertise in vectorization and code optimization for large-scale data processing.
• Advanced SQL skills for data querying and manipulation.
• Analytical & Statistical Expertise: Solid understanding of business analytics, statistical analysis (including causal inference, simulation, regression, clustering), with an ability to translate complex data into actionable insights.
• Additional Assets: Experience with Deep Reinforcement Learning is a plus. Understanding of the FMCG market dynamics is a plus.
• Data Visualization: Familiarity with data visualization tools such as Tableau and Matplotlib.
• Soft Skills: 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.