Staff Data Scientist

Introduction

About SymphonyAI: SymphonyAI is a leading enterprise AI solutions provider empowering retailers and manufacturers to optimize business operations through customer insights. Our innovative technology and strategic collaboration position us as a preferred partner for leading retailers and manufacturers globally.

Job Description Role Overview: We are looking for a

Staff Data Scientist - Merchandising, Assortment, Pricing & Planning to lead high‑impact data science and decision science initiatives across end‑to‑end commercial strategy—spanning

assortment design, promotional effectiveness, pricing, and demand planning . This role sits at the intersection of

data science, product strategy, revenue, and GTM , owning advanced models that shape how products are packaged, priced, promoted, and planned across complex, global B2B SaaS portfolios. As a Staff‑level IC, you will act as a

technical authority and strategic thought partner , delivering scalable, explainable, and business‑critical analytics that directly influence revenue, margin, and growth decisions.

About the role: Merchandising, Assortment & Decision Science

• Design and deploy assortment optimization and merchandising models accounting for demand elasticity, customer behavior, cannibalization, and cross‑sell/upsell dynamics.
• Build data‑driven frameworks to recommend optimal product configurations, bundles, and catalog structures by segment, industry, and geography.
• Apply causal inference and experimentation (A/B testing, uplift modeling, quasi‑experiments) to evaluate assortment and merchandising changes and measure true business impact.

Pricing, Promotions & Offer Effectiveness

• Develop pricing and promotion effectiveness models to measure lift, cannibalization, halo effects, and ROI across campaigns and offers.
• Build incrementality frameworks (A/B tests, MMM, causal models) to separate baseline demand from true promotional impact.
• Partner with Pricing, Product, and Revenue teams to support price optimization, offer design, and go‑to‑market decisioning.

Planning, Forecasting & Scenario Modeling

• Build and productionize demand forecasting and planning models incorporating seasonality, assortment, pricing changes, promotions, customer cohorts, and external signals.
• Drive scenario planning, budget optimization, and long‑range forecasts in close partnership with Finance and Revenue Operations.
• Develop simulation tools to evaluate trade‑offs across revenue, margin, customer acquisition, and retention.

Advanced Analytics & Machine Learning

• Architect and deploy machine learning and optimization models (time series, regression, tree‑based, probabilistic, recommendation, and optimization techniques).
• Own the end‑to‑end model lifecycle—data exploration, feature engineering, validation, deployment, monitoring, and continuous improvement.
• Ensure models and insights are explainable, auditable, and trusted by senior and executive stakeholders.

Technical Leadership & Influence

• Act as a Staff‑level technical mentor, guiding senior data scientists and raising standards across modeling, experimentation, and ML rigor.
• Influence analytics and AI roadmaps aligned with product evolution and commercial strategy.
• Communicate complex insights clearly to senior leadership and non‑technical stakeholders, driving adoption and action.

About you:

• 10+ years of experience in Data Science, Decision Science, or Applied Machine Learning.
• Strong hands‑on experience across assortment, merchandising, pricing, promotions, or demand planning analytics.
• Deep expertise in statistics, experimentation design, causal inference, and predictive modeling.
• Advanced proficiency in Python or R, SQL, and ML libraries (e.g., scikit‑learn, XGBoost, PyTorch, TensorFlow).
• Experience building and deploying models in cloud‑based, large‑scale production environments (AWS, Azure, or GCP).
• Proven ability to operate as a senior individual contributor with significant cross‑functional business impact.

Nice to Have

• Experience with marketing mix modeling (MMM), Bayesian methods, or advanced optimization techniques.
• Exposure to GenAI‑assisted analytics or AI‑driven decision systems.
• Prior experience supporting global GTM, pricing, or finance planning teams.
• Strong business storytelling skills and executive presence.

What Success Looks Like

• Merchandising, assortment, pricing, and promotions are driven by measurable ROI and explainable models, not intuition.
• Forecasting and planning accuracy improves materially, enabling confident business decisions.
• Product, Pricing, and GTM teams rely on data science outputs as systems of record for commercial strategy.
• The data science organization is elevated through your technical mentorship and thought leadership.

About Us What We Offer:

• Competitive salary and benefits package.
• Opportunities to work on innovative, cutting-edge technology projects.
• Supportive, collaborative, and technically enriching work environment.
• Professional growth and upskilling opportunities.