Data Science Manager - Pricing

Description

Summary: Seeking a Data Science Manager to lead a team optimizing HP's worldwide machine learning-based pricing model, ensuring accuracy and alignment with business goals. Highlights: 1. Lead a team optimizing critical global pricing models. 2. Drive continuous model retraining and A/B testing. 3. Foster talent development and cross-functional collaboration. **About the Role**We are looking for a "**Data Science Manager \- Pricing"** to lead the team responsible for the operational excellence of HP’s worldwide machine learning\-based pricing model. This model determines optimal prices for hundreds of thousands of products every day, driving critical business decisions across global markets.**Key Responsibilities**As the Data Science Manager, you will oversee a team focused on ensuring the pricing model remains accurate, reliable, and continuously optimized and aligned with business goals. Your team’s core responsibilities include:* **Continuous Model Retraining:** Maintain agility by retraining models to quickly reflect market and competitive dynamics. * **Cross\-Functional Collaboration:** Act as the primary liaison between data science, engineering, and business teams to align pricing strategies with organizational goals. * **A/B Testing of Pricing Strategies:** Design and execute experiments to evaluate and improve pricing strategies. * **Model Monitoring \& Reliability:** Ensure all business processes dependent on the pricing model run smoothly, with proactive monitoring and issue resolution. * **Incident Management \& Risk Mitigation:** Establish protocols for rapid response to model failures or anomalies to minimize business impact. * **Talent Development:** Mentor team members, foster a culture of learning, and support career growth within the team. **What We’re Looking For*** Strong background in **data science, machine learning, or applied statistics**, ideally with experience in **pricing or revenue optimization for B2B businesses**. * Proven ability to work in **complex, global environments** and manage operational processes for ML systems. * **Leadership experience**: Previous people management experience is a plus, but not mandatory. We welcome candidates who have served as team leads and are ready to transition into a full managerial role. * Excellent communication and stakeholder management skills. **Preferred Qualifications*** **Strong software engineering background**, with proven experience in **productionizing and scaling global ML models**. * Experience with **ML model lifecycle management** (training, deployment, monitoring). * Familiarity with **A/B testing frameworks** and experimental design.