Who is this for
If building sophisticated statistical models and conducting rigorous causal analysis to drive business impact excites you, this is your prospect. Fornax is seeking a Data Scientist who combines advanced analytical techniques with business acumen to solve complex challenges in the Retail domain.

We are looking for a technically proficient data scientist who excels at causal inference, experimental design, and predictive modeling while translating complex methodologies into actionable business insights.

Key Responsibilities

Advanced Analytics & Causal Inference (30%)
Design and implement causal inference studies using difference-in-differences (DiD), regression discontinuity, synthetic control methods, and propensity score matching
Conduct rigorous A/B testing and experimental design to measure treatment effects and validate business interventions
Build predictive models using machine learning techniques (random forests, gradient boosting, neural networks) for customer behavior, demand forecasting, and churn prediction




Perform time series analysis and forecasting for sales, inventory, and market trends
Apply advanced statistical methods to identify and quantify causal relationships in observational data
Develop attribution models to measure the incremental impact of marketing campaigns and business initiatives

Statistical Modeling & Machine Learning (25%)
Build and deploy supervised and unsupervised learning models for classification, regression, clustering, and recommendation systems
Implement feature engineering pipelines and model selection frameworks to optimize predictive performance
Develop customer segmentation models using clustering algorithms and behavioral analytics
Create price optimization and agile pricing models using elasticity analysis
Build survival analysis models for customer lifetime value and retention prediction
Apply natural language processing (NLP) techniques for sentiment analysis and customer

📌 Data Scientist Mumbai
🏢 Fornax
📍 Mumbai