Lead Data Scientist
- Infiniti Research
- 6 - 10 years
- Bengaluru
- 2 days ago
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Job Description
Senior Lead Data Scientist Retail AI/ML Strategy
Location: Bangalore
Experience Required: 6+ years in Data Science with deep expertise in AI/ML applications in retail and CPG
About the Role: We are looking for a Senior Lead Data Scientist to drive strategic AI/ML initiatives across retail, consumer behavior, merchandising, and supply chain domains You will lead the design and implementation of cutting-edge models, including Bayesian analytics, regression and ensemble models, and semantic systems, to optimize sales, marketing, pricing, and operational decisions.
Key Responsibilities:
Model Development & Machine Learning
o Build, deploy, and scale advanced ML models using Python Frameworks.
o Design solutions across key retail/CPG domains:
Bayesian Analytics using tools like PyMC3, Stan, or BAMBI for uncertainty modeling and hierarchical inference.
Market Mix Modeling (MMM) for marketing ROI and media budget allocation.
Regression & Ensemble Modeling (e.g., Random Forest, XGBoost, LightGBM) for demand prediction, elasticity estimation, and churn analysis.
New Store Forecasting using spatial and demographic signals.
Semantic Search Systems powered by embeddings and transformer-based architectures.
Order Fraud Detection Models leveraging anomaly detection, supervised learning, and ensemble stacks.
Advanced Retail Use Cases
o Lead AI/ML initiatives on:
Assortment Optimization using constrained optimization or evolutionary algorithms.
A/B & Multivariate Testing Frameworks including CUPED, geo-testing, and Bayesian lift measurement.
Advanced Price Elasticity models using log-log forms, SHAP attribution, and marginal simulations.
CLTV, RFM Segmentation, and customer churn prediction.
Sales Attribution & Store Driver Modeling via regression and causal inference.
Survey Analytics including sentiment analysis, NPS drivers, and unstructured feedback clustering.
Merchandise Analytics covering product placement, ROI, markdown effectiveness, and space planning.
Cross-functional Leadership
o Present findings and strategic recommendations to senior leadership. o Lead data science pods and mentor junior team members.
AI/ML Innovation
o Stay ahead of the curve with innovations in LLMs, causal inference, probabilistic programming, and generative AI.
o Build and maintain reusable modeling pipelines and experiment frameworks.
Required Qualifications:
Masters or Bachelors in Computer Science, Statistics, Mathematics, Economics, or related fields.
6+ years of experience in data science and machine learning, with a focus on retail or consumer-focused industries.
Proficiency in Python (pandas, scikit-learn, PyMC3, BAMBI), SQL, XGBoost, LightGBM, and forecasting techniques.
Hands-on experience with regression analysis, ensemble methods, Bayesian modeling, and experimentation design.
Exposure to causal inference libraries like DoWhy or EconML.
Preferred Skills:
Familiarity with BI tools like Power BI, Tableau for dashboarding and executive storytelling.
Working knowledge of cloud platforms like Azure, AWS, or GCP and tools such as Databricks or MLflow
Job Classification
Industry: Analytics / KPO / ResearchFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: Infiniti ResearchLocation(s): Bengaluru
Keyskills: Generative Ai Retail Analytics Python SQL
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