Principal Data Scientist

Principal Data Scientist: Product to Market (P2M) Optimization Join Gap Inc. to apply for the Principal Data Scientist: Product to Market (P2M) Optimization role. About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple ideathat we all deserve to belong, and on our own termsis core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About The Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprisescale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead endtoend solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What Youll Do Lead the framing, design, and delivery of advanced optimization and machine learning solutions for highimpact retail supply chain challenges. Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decisionmaking, and translating analytical outcomes into actionable business insights. Drive crossfunctional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value. Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are Masters or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. Proven track record of delivering productiongrade analytical solutions that have influenced business strategy and delivered measurable outcomes. Strong expertise in operations research methods, including linear, nonlinear, and mixedinteger programming, stochastic modeling, and simulation. Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, ORTools, scikitlearn, and MLlib. Handson experience with enterprise platforms such as Databricks and cloud environments. Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and nontechnical audiences. Strong collaboration and influence skills, with experience leading crossfunctional teams in matrixed organizations. Experience managing code quality, CI/CD pipelines, and GitHubbased workflows. Preferred Qualifications Experience shaping and executing multiyear analytics strategies in retail or supply chain domains. Proven ability to balance longterm innovation with shortterm deliverables. Background in agile product development and stakeholder alignment for enterprisescale initiatives. Benefits at Gap Inc. Merchandise discount for our brands: 50% off regularpriced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. One of the most competitive Paid Time Off plans in the industry. Employees can take up to five on the clock hours each month to volunteer at a charity of their choice. Extensive 401(k) plan with company matching for contributions up to four percent of an employees base pay. Employee stock purchase plan. Medical, dental, vision and life insurance. See more of the benefits we offer. EqualOpportunity Employer Gap Inc. is an equalopportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our longheld commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $201,700 $267,300 USD. Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements. #J-18808-Ljbffr