Staff data scientist

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 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, Py Torch, or Tensor Flow. 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 Gen AI-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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