Hiring: Staff Data Scientist – Merchandising, Assortment, Pricing & Planning
Location: Remote
Experience: 10+ Years
About the Role
We are looking for a Staff Data Scientist to lead high-impact Data Science & Decision Science initiatives across merchandising, assortment, pricing, promotions, forecasting, and planning.
As a Staff-level individual contributor, you will act as a technical authority and strategic thought partner , building scalable and explainable models that directly influence revenue, margin, and growth.
Key Responsibilities
Merchandising & Assortment
Build assortment optimization and merchandising models.
Work with demand elasticity, customer behavior, cannibalization, and cross-sell/upsell dynamics.
Develop product configuration, bundling, and catalog optimization frameworks.
Apply causal inference, A/B testing, uplift modeling, and quasi-experiments.
Pricing & Promotions
Develop pricing and promotion effectiveness models.
Measure lift, cannibalization, halo effects, incrementality, and ROI.
Build frameworks using A/B testing, MMM, and causal modeling.




Partner with Pricing, Product, Revenue, and GTM teams on commercial decisions.
Forecasting & Planning
Build and productionize demand forecasting and planning models.
Incorporate seasonality, pricing, promotions, customer cohorts, assortment, and external signals.
Drive scenario planning, budget optimization, and long-range forecasting.
Develop simulations to evaluate revenue, margin, acquisition, and retention trade-offs.
Advanced Analytics & ML
Architect and deploy ML and optimization models using:
Time Series
Regression
Tree-based models
Probabilistic models
Recommendation systems
Optimization techniques
Own the complete ML lifecycle from exploration and feature engineering through deployment, monitoring, and continuous improvement.
Ensure models are explainable, auditable, and trusted by senior stakeholders.
Technical Leadership
Mentor senior Data Scientists and elevate modeling and experimentation

📌 Staff Data Scientist (Mumbai)
🏢 NextMantra AI
📍 Mumbai