Data Scientist - CPG Domain

This role is for one of Weekday’s clients
Min Experience: 5 years
Location: Bengaluru
JobType: full-time

We are looking for an experienced Data Scientist with a strong background in the CPG (Consumer Packaged Goods) or Retail domain, focusing on category and product analytics, forecasting, and machine learning workflows. The ideal candidate will possess advanced analytical skills, business acumen, and hands-on expertise in modern data science tools and platforms such as Python, SQL, Databricks, PySpark, and CI/CD ML pipelines.

As a Data Scientist, you will be responsible for generating actionable insights across product assortment, category performance, sales trends, and customer behaviors. Your work will directly influence decision-making for new product launches, inventory optimization, campaign effectiveness, and category planning, enabling our teams to enhance operational efficiency and drive business growth.

Key Responsibilities

• Category & Product Analytics:
• Conduct deep-dive analysis into product assortment, SKU performance, pricing effectiveness, and category trends.
• Evaluate new product launches and provide recommendations for optimization based on early performance indicators.
• Sales Data Analysis & Forecasting:
• Analyze historical and real-time sales data to identify key growth drivers, seasonality, and demand patterns.
• Build statistical and ML-based models to forecast demand and category-level performance at multiple aggregation levels.
• Customer Analytics (Nice to Have):
• Analyze loyalty program data and campaign performance metrics to assess customer retention and ROI of promotions.
• ML Model Development & Deployment:
• Design, build, and deploy machine learning models using Python and PySpark to address business problems in forecasting, product clustering, and sales optimization.
• Maintain and scale CI/CD pipelines for ML workflows using tools like MLflow, Azure ML, or similar.
• Data Engineering and Tooling:
• Develop and optimize data pipelines on Databricks and ensure reliable data ingestion and transformation for analytics use cases.
• Use SQL and PySpark to manipulate and analyze large datasets with performance and scalability in mind.
• Visualization & Stakeholder Communication:
• Build impactful dashboards using Power BI (preferred) to enable self-service analytics for cross-functional teams.
• Translate data insights into clear, compelling business narratives for leadership and non-technical stakeholders.
• Collaboration & Strategic Insights:
• Work closely with category managers, marketing, and supply chain teams to align data science initiatives with key business objectives.
• Proactively identify opportunities for innovation and efficiency across product and sales functions.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years of experience in applied data science, preferably in CPG/Retail/FMCG domains.
• Proficient in Python, SQL, Databricks, and MLflow. Experience with PySpark and Azure ML is a strong plus.
• Deep experience with time-series forecasting, product affinity modeling, and campaign analytics.
• Familiarity with Power BI for dashboarding and visualization.
• Strong storytelling skills, with the ability to explain complex data-driven insights to senior stakeholders.
• Solid understanding of challenges and opportunities within the retail and FMCG space.
• Ability to work independently as well as in cross-functional teams in a fast-paced environment.