Role & responsibilities
Develop and deploy machine learning models for retail analytics, marketing effectiveness, pricing, promotions, and assortment optimization.
Retail Media Measurement: Measure campaign incrementality and effectiveness using A/B testing, matched-market testing, Multi-Touch Attribution (MTA), and Marketing Mix Modeling (MMM).
Retail Pricing & Promotions: Build pricing and promotion effectiveness models to measure sales lift, price elasticity, cannibalization, halo effects, and campaign/offer ROI.
Retail Assortment: Develop assortment optimization, demand transfer, product substitution, and cross-product demand models.
Apply statistical modelling, causal inference, experimentation, and predictive analytics to measure incremental sales, revenue, and profitability.
Build scalable ML pipelines and productionize models in collaboration with data engineering and business teams.
Translate analytical insights into actionable recommendations for marketing,



pricing, merchandising, and category management.

Preferred candidate profile
5+ years of experience in Data Science, Machine Learning, or Advanced Analytics, preferably in retail, e-commerce, CPG, or retail media.
Robust proficiency in Python, SQL, statistics, and machine learning algorithms.
Hands-on experience in model development, validation, deployment, and monitoring.
Experience in incrementality measurement, A/B testing, matched-market testing, and exposure to MTA/MMM.
Experience in pricing and promotion analytics, including lift, cannibalization, halo effects, and ROI.
Experience in assortment optimization, demand transfer, or product substitution modelling.
Solid understanding of causal inference, experimental design, and business impact measurement.

📌 Data Scientist Chennai
🏢 Blackstraw Technologies
📍 Chennai