About The Role We are looking for a Senior Data Scientist to lead the development of a prototype for a new application that will enable HP’s business leadership to directly steer the pricing algorithm based on current business objectives. This is a high-impact, strategic initiative that, if successful, could evolve into a full-fledged product supported by a dedicated team. As part of this role, you will combine data science expertise with strong software engineering skills to design and potentially build a web-based application. You will also work closely with business stakeholders to validate the application design and ensure the feedback loop between business objectives and the pricing algorithm is effective. This position requires excellent communication skills, as you will interact directly with leadership and cross-functional teams. Key Responsibilities Prototype Development: Design and implement a proof-of-concept application that connects business objectives to pricing algorithm adjustments. Software Engineering: Build core components of the application, including a web interface, data pipelines, and integration with existing ML systems. Algorithm Steering: Develop mechanisms to translate business inputs into actionable changes in pricing models. Stakeholder Engagement: Collaborate with business leadership to validate design, gather feedback, and refine the solution. Feedback Loop Design: Ensure seamless interaction between business objectives and pricing algorithm performance. Innovation & Scalability: Lay the foundation for a solution that can evolve into a production-grade product. What We’re Looking For Strong background in data science and machine learning, with experience in applied modeling and optimization. Excellent software engineering skills, including experience building web applications and APIs. Proficiency in Python Strong communication and collaboration skills to work effectively with business stakeholders. Preferred Qualifications Experience in pricing or revenue optimization for B2B businesses. Knowledge of ML model lifecycle management and production deployment. Familiarity with UI/UX principles for data-driven applications. Ability to work in fast-paced, exploratory environments and deliver high-quality prototypes quickly. J-18808-Ljbffr