Senior Data Scientist - AI/ML Assortment Modelling in Retail/CPG

📍 Location: (Hybrid/Remote)

💼 Full-time | Senior Level

About the Role

We are seeking a Senior Data Scientist with expertise in AI/ML-driven assortment modelling to join our growing team. In this role, you will leverage advanced machine learning, optimization techniques, and data analytics to drive intelligent assortment planning, category management, and demand forecasting in the Retail/Consumer Packaged Goods (CPG) industry.

This is an exciting opportunity to work with large-scale datasets, build cutting-edge models, and collaborate cross-functionally to shape data-driven retail strategies.

Key Responsibilities

🔹 Data Exploration & Analysis

• Process and analyze retail data, including sales history, inventory levels, product attributes, and customer behavior to extract actionable insights.

🔹 Optimization & Assortment Modelling

• Develop and implement mathematical optimization models for assortment planning, category space allocation, and planogram optimization to maximize business outcomes.

🔹 Machine Learning Model Development

• Design and build predictive models for choice modeling (e.g., Multinomial Logit, Neural Choice Models), demand forecasting, and product substitution effects.
• Apply advanced ML algorithms, such as Random Forests, Gradient Boosting, and Neural Networks, to solve large-scale optimization problems.

🔹 Data Visualization & Storytelling

• Present complex insights using intuitive data visualization techniques, transforming raw data into clear, actionable recommendations for business stakeholders.

🔹 Cross-functional Collaboration

• Work closely with engineering and product teams to deploy AI models into production, ensuring scalability and reliability.

Requirements

✅ Education

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Physical Sciences, or a related analytical field.

✅ Experience

• 2+ years of experience developing optimization solutions and predictive models.
• Prior experience in Retail/CPG is preferred but not mandatory. Candidates from logistics, operations, finance, or technology with relevant analytical experience are welcome to apply.

✅ Technical Expertise

• Operations Research & Optimization: Strong foundation in mathematical optimization, with hands-on experience in constrained optimization models.
• Programming Skills: Proficiency in Python (pandas, scikit-learn, optimization libraries) and SQL for large-scale data processing and analysis.
• Machine Learning Tools: Familiarity with PyTorch, TensorFlow, and other ML libraries.
• Big Data Processing: Experience with Spark for handling large datasets; experience with Snowflake/Snowparkis a plus.
• UI Development: Experience building interactive UIs using Plotly or Streamlit.
• Cloud & Systems Architecture: Understanding of large-scale cloud environments and system architecture.

✅ Soft Skills

• Data Storytelling: Ability to interpret complex data, create compelling visualizations, and communicate insights effectively to both technical and non-technical audiences.
• Collaboration & Communication: Strong ability to articulate technical concepts and collaborate with cross-functional teams.

Preferred Skills & Experience

⭐ DevOps & CI/CD: Understanding of continuous integration, testing, deployment, and release methodologies.

⭐ Elasticity Modeling & Cross-Product Effects: Experience in pricing elasticity modeling and cross-product demand analysis.

⭐ Retail Analytics: Experience working with large-scale retail datasets and category management analytics.

Why Join Us?

🚀 Work with a team of industry-leading experts in AI/ML and optimization.

📈 Solve real-world retail and CPG challenges using cutting-edge technology.

🌍 Enjoy a flexible work environment (hybrid/remote).

💡 Opportunity to drive innovation in AI-powered retail decision-making.

If you are passionate about data science, optimization, and AI/ML in retail, we’d love to hear from you!

👉 Apply now and be part of the future of data-driven retail.