Principal Data Scientist : Product to Market (P2M) Optimization

Sorry, this job was removed at 04:03 p.m. (CST) on Monday, Apr 06, 2026
5 Locations
In-Office or Remote
eCommerce • Fashion
The Role
About the RoleGap 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 enterprise-scale 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 end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels.What You'll Do
  • Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact 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 decision-making, and translating analytical outcomes into actionable business insights.

  • Drive cross-functional 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
  • Master’s 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 production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes.

  • Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation.

  • Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib.

  • Hands-on 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 non-technical audiences.

  • Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations.

  • Experience managing code quality, CI/CD pipelines, and GitHub-based workflows.

Preferred Qualifications

  • Experience shaping and executing multi-year analytics strategies in retail or supply chain domains.

  • Proven ability to balance long-term innovation with short-term deliverables.

  • Background in agile product development and stakeholder alignment for enterprise-scale initiatives.

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The Company
Bristol
11,000 Employees
Year Founded: 1969

What We Do

In 1969, Don and Doris Fisher opened the first Gap store on Ocean Avenue in San Francisco. They wanted to make it easier to find a great pair of jeans, and they did. Their denim and records store was a hit, and it grew to become one of the world’s most iconic brands. Today we’re represented in more than 1400 stores in over 40 countries, and online. We have headquarters in New York, London, Shanghai, Tokyo, and, of course, San Francisco. Our unique aesthetic is optimistic cool, elevated American style. Our clothes are crafted with care, with focused attention to thoughtful design. We believe in staying true to our heritage while creating what’s next. Don and Doris Fisher always wanted to “do more than sell clothes.” They wanted to support the people who ran their company, to be active in their communities, and to have a positive impact on the world. Their vision helped transform retail, and we’re still following their lead. We stand for freedom and possibility for all; we champion diverse ideas that transcend generations, geographies and genders.

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