Data Scientist Mumbai (India)

Who is this for If building sophisticated statistical models and conducting rigorous causal analysis to drive business impact excites you, this is your chance. 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