Data Scientist - CPG Domain

This role is for one of Weekday's clientsMin Experience: 5 yearsLocation: BengaluruJobType: full-time

Requirements

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.