Areas of expertise include forecasting, time series, predictive modeling, supply chain analytics, and inventory management. You will support the team to build and deploy data and predictive analytics capabilities, in partnership with GapTech, PDM, Central Marketing & business partners across our brands.What You'll Do
Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose, and optimize performance and develop statistical models and analysis for ad hoc business focused analysis.
Develop software programs, algorithms and automated processes that cleanse, integrate, and evaluate large data sets from multiple disparate sources.
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 modeling protocols.
Deliver sound, data-backed recommendations tied to business results, industry insights, and overall Gap Inc. ecosystem of technology, platform, and resources.
Communicate compelling, data-driven recommendations as well as potential trade-offs, backed by data analysis and/or model outputs to influence leaders’ and stakeholders’ decisions.
Build networks across the organization and partners to anticipate leader requests and influence data-driven decision making.
Guides discussions and empowers more junior team members to identify best solutions.
Experience in developing advanced algorithms using machine leaning (ML), statistical, and optimization methods to enhance various business components in the retail sector.
Hands-on experience with forecasting models, running simulations of what-if analysis, and prescriptive analytics.
Experience with time series analysis, predictive modeling, hierarchical Bayesian, causal ML, and transformer-based algorithms.
Experience with creating business impact in supply chain, merchandise, inventory planning, or vendor management using advanced forecasting techniques.
Experience working directly with cross-functional teams such as product management, engineers, business partners.
Advanced proficiency in modern analytics tools and languages such as Python, R, Spark, SQL.
Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments.
Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change.
Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building.
Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions.
Required
BS with 7+ years of experience (or MS with 5+ years) in Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field.
People mentoring experience, ability to work independently on large scale projects.
Proven ability to lead teams in solving unstructured technical problems to achieve business impact.
Full stack experience across analytics, data science, machine learning, and data engineering
Skills Required
- BS degree with 7+ years of experience in Data Science, Computer Science, Machine Learning, Applied Mathematics, or an equivalent quantitative field
- MS degree with 5+ years of experience in Data Science, Computer Science, Machine Learning, Applied Mathematics, or an equivalent quantitative field
- Experience developing advanced algorithms using machine learning, statistical, and optimization methods
- Hands-on experience with forecasting models, what-if simulations, and prescriptive analytics
- Experience with time series analysis, predictive modeling, hierarchical Bayesian methods, causal ML, and transformer-based algorithms
- Experience creating business impact in supply chain, merchandising, inventory planning, or vendor management through advanced forecasting
- Experience working with product management, engineers, and business partners
- Advanced proficiency in Python, R, Spark, and SQL
- Advanced SQL proficiency for large datasets in on-premises and cloud distributed computing environments, including Azure
- People mentoring experience
- Ability to work independently on large-scale projects
- Proven ability to lead teams solving unstructured technical problems and achieving business impact
- Full-stack experience across analytics, data science, machine learning, and data engineering
Gap (gapinc.com). Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Gap (gapinc.com). and has not been reviewed or approved by Gap (gapinc.com)..
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is offered, alongside programs that support physical, mental, and financial wellbeing. Feedback suggests eligible employees can also leverage tools like FSAs and additional wellbeing resources.
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Leave & Time Off Breadth — Paid time off, company-paid holidays, and multiple leave options (sick, disability, and family leave) create broad time-away coverage. Some roles start with substantial PTO accrual and can access flexible leave arrangements.
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Wellbeing & Lifestyle Benefits — A generous cross-brand merchandise discount is a standout perk, complemented by commuter benefits, on-the-clock volunteer hours, and matching donations. Feedback suggests these lifestyle benefits add meaningful value beyond base pay.
Gap (gapinc.com). Insights
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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.
