Hiring: Staff Data Scientist – Merchandising, Assortment, Pricing & Planning
📍 Location: Bangalore, India
💼 Experience: 10+ Years
🏢 Company: Tesseract AI
🔍 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 standards.
- Influence AI and analytics roadmaps.
- Communicate complex insights effectively to executive and non-technical stakeholders.
🧠 What We're Looking For
- 10+ years of experience in Data Science, Decision Science, or Applied ML.
- Strong experience in assortment, merchandising, pricing, promotions, or demand planning.
- Deep expertise in statistics, experimentation, causal inference, and predictive modeling.
- Strong proficiency in Python/R, SQL, and ML libraries such as Scikit-learn, XGBoost, PyTorch, or TensorFlow.
- Experience deploying ML models in large-scale cloud environments — AWS, Azure, or GCP.
- Proven ability to operate as a senior IC with significant cross-functional business impact.
⭐ Nice to Have
- Marketing Mix Modeling (MMM)
- Bayesian methods
- Advanced optimization techniques
- GenAI-assisted analytics / AI-driven decision systems
- Experience supporting global GTM, Pricing, or Finance teams
- Strong business storytelling and executive presence
🎯 What Success Looks Like
✅ Merchandising, assortment, pricing, and promotions are driven by measurable ROI and explainable models.
✅ Forecasting and planning accuracy improves materially.
✅ Product, Pricing, and GTM teams rely on Data Science as a key decision-making system.
✅ The Data Science organization benefits from your technical mentorship and thought leadership.
📩 Interested?
If you have strong expertise in Retail Data Science + Pricing/Assortment + Decision Science, we'd love to hear from you.
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