Data Scientist - Enterprise Data Science

About the Role

The Enterprise Data Science team at Gap Inc. leverages advanced analytics and machine learning techniques to drive growth, optimize customer experiences, and enhance operational excellence across all Gap Inc. brands. The team’s focus is on creating data science and machine learning capabilities to solve complex and multilayered business problems and identify untapped opportunities/areas of growth. In this role, you will join a team of talented data scientists to build and deploy data and predictive and prescriptive analytics capabilities in various areas including inventory management, demand forecasting, clustering and localization, and customer personalization, in partnership with GapTech, PDM, and business partners across our brands. Retail, inventory management, and supply chain experience strongly preferred.

What You'll Do

• Design, build, validate, and deploy end-to-end predictive models, machine learning, and mathematical optimization solutions in cloud environments

• Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various needs

• Develop and implement data-driven models to improve inventory management, reduce excess stock, and prevent stockouts.

• Communicate meaningful, actionable insights from large data and metadata sources to stakeholders to drive strategic adoption

• Collaborate with data engineering and IT teams to ensure data accessibility, integrity, and scalability for analytics and modeling purposes

• Continuously monitor and refine existing models to ensure accuracy and relevance, and provide recommendations for improvement.

• Integrate emerging methodology, technology, coding and other best practices that to the team and create effective documentation.

Who You Are

• Proven experience in machine learning, statistical modeling, experimental design, operations research, inventory theory and a track record for creating tangible business impact

• Proficiency in building end-to-end models and deploying them in cloud environments

• Strong programming skills in Python, SQL, PySpark or similar languages.

• Excellent problem-solving skills with the ability to translate complex data into actionable business insights.

• Strong communication and stakeholder management skills, with the ability to convey technical information to non-technical stakeholders clearly and effectively and a demonstrated appetite for relationship building

• Skills to collaborate with cross-functional teams and influence product and analytics roadmap

• Bachelor’s and/or Advanced degree in Data Science, Operations Research, Statistics, Math, Computer Science, Industrial Engineering or related field preferred