Summary: This Principal Data Scientist role drives the evolution of ML-driven pricing algorithms for HP's global B2B pricing engine, offering technical and strategic leadership. Highlights: 1. Lead the evolution of ML-driven pricing algorithms at enterprise scale 2. Influence a global, business-critical pricing system 3. Shape the long-term evolution of HP’s pricing intelligence **Principal Data Scientist – Global B2B Pricing** **About the Team** We are **a team of Economists, Data Scientists, and Software Engineers** who develop and operate **HP’s global machine learning–based B2B pricing engine** — a mission‑critical system that **optimizes prices for hundreds of thousands of products daily**. We collaborate closely with Product, Sales, Engineering, and Finance to ensure pricing decisions are data‑driven, scalable, and strategically aligned. We are **now entering a new phase in our pricing algorithm evolution** and seek a Principal Data Scientist to help define and build what comes next. **Role Overview:** The **Principal Data Scientist** will provide technical and strategic leadership for the future of HP’s pricing intelligence. **You will drive the evolution of ML****‑****driven pricing algorithms** — moving beyond single‑quote models toward customer‑aware, long‑term value–oriented pricing strategies. This is a hands‑on role spanning modeling, experimentation, and cross‑functional decision‑making. **Key Responsibilities:** **Algorithm \& Modeling Leadership** * Shape the next generation of HP’s pricing algorithms, incorporating customer behavior, historical interactions, and long‑term value. * Develop advanced ML models for price response, demand patterns, and customer value estimation. * Balance model sophistication with interpretability, robustness, and operational constraints. **Data Strategy \& Feature Innovation** * Identify and integrate new data sources to strengthen pricing intelligence. * Lead feature design, validation, and lifecycle improvements to drive continuous model gains. **Experimentation \& Causal Evaluation** * Design and guide rigorous experiments to test pricing strategies and algorithm changes. * Apply state‑of‑the‑art methods in A/B testing, causal inference, and longitudinal impact measurement. * Translate experimental results into actionable pricing strategy improvements. **Thought Leadership \& Cross****‑****Functional Influence** * Act as a trusted technical partner to Product, Sales, Pricing, and Finance stakeholders. * Communicate modeling rationale, uncertainty, and trade‑offs in clear business terms. * Mentor data scientists and elevate analytical standards across the team. **Required Qualifications:** * Strong background in machine learning, statistics, and applied modeling. * Proven experience with pricing or related decision‑science domains. * Expertise in experimental design, A/B testing, and causal inference. * Proficiency with SQL, Python, and large‑scale datasets. * Experience deploying production ML models with engineering partners. * Demonstrated technical leadership across cross‑functional environments. **Nice to Have** * Experience with B2B or negotiated pricing. * Familiarity with dynamic pricing, reinforcement learning, or sequential decision‑making. * Experience with experiments involving repeated customers or delayed outcomes. * Hands‑on experience with Agentic AI developer tools (e.g., Claude Code, GitHub Copilot). **Why Join Us?** * Influence a global, business‑critical pricing system with real economic impact. * Tackle complex applied ML and pricing challenges at enterprise scale. * Shape the long‑term evolution of HP’s pricing intelligence capabilities. * Join a team with diverse academic and professional backgrounds, including many PhDs, where people are curious, collaborative, and continuously learning from each other.