Director, Data Science

Gap Inc.

. Lead a cross-functional Data Science team building and deploying AI and ML solutions across Gap Inc.

Posted 11/3/2026full-timeUnited StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Science and optimization methods, with a strong focus on delivering production-ready solutions in retail and supply chain environments. Capable of leading cross-functional teams, communicating complex insights effectively, and fostering a culture of continuous learning and accountability.

Highest-signal resume keywords

Data Science LeadershipOptimization Methods ExpertisePython ProficiencySQL ProficiencyRetail Business Process Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceOptimization MethodsOperations Research TechniquesConstraint-Based ModelingCausal InferenceA/B TestingMeasurement Framework DesignProduction-Grade SolutionsQuantitative AnalysisStatistical Modeling

Soft Skills

Communication SkillsCoaching and DevelopmentStakeholder ManagementInfluencing SkillsTeam Accountability

Tools & Technologies

PythonSQLPuLPOR-ToolsGurobiCPLEXSciPyGCPDatabricksSnowflake

Industry Keywords

RetailE-CommerceSupply ChainMerchandisingInventory PlanningPricingSourcingOptimization ModelsData Science InsightsConsumer Goods

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSnowflakeSQL

About the role

Key responsibilities & impact

Lead a cross-functional Data Science team building and deploying AI and ML solutions across Gap Inc. brands
Lead optimization efforts across assortment, inventory, allocation, pricing, replenishment, and supply chain problems
Align Data Science projects, deliverables, and workstreams with business needs and Gap Inc. strategic priorities
Establish rigorous measurement practices and scalable, maintainable solutions
Research retail industry, macro-economic, and consumer trends
Identify business opportunities and risks and recommend courses of action to brand and GTS leaders
Design, develop, and deploy production-ready optimization models
Guide selection and application of linear programming, mixed-integer programming, heuristic, metaheuristic, and stochastic optimization methods
Establish best practices for model evaluation, scenario analysis, and sensitivity testing
Partner with Merchandising, Inventory Planning, Sourcing, and Pricing teams to define optimization problems
Drive adoption of optimization outputs through interfaces supporting business-user interrogation, overrides, and trust
Coach direct reports in technical and communication skills
Present complex Data Science insights to technical and non-technical audiences
Anticipate obstacles and stakeholder resistance to ensure timely, high-quality deliverables
Hold the team accountable for deliverables while fostering psychological safety and continuous learning
Build cross-functional relationships across GTS and Gap Inc. brands
Ensure rigorous testing, including A/B tests, holdout groups, and causal measurement approaches
Guide large-scale data projects using appropriate technical tools and languages
Prioritize concurrent projects according to business priorities, timelines, and budget constraints
Promote research, modeling techniques, and analytical methods that drive measurable improvements

Requirements

What you’ll need

7+ years of experience in Data Science, Analytics, or a closely related quantitative field
At least 2 years in a people leadership role managing a team of Data Scientists or Analysts
Demonstrated expertise in optimization methods and applied use in retail or consumer goods contexts
Experience with operations research techniques, constraint-based modeling, and decision-support systems
Strong proficiency in Python and SQL
Hands-on experience with optimization libraries such as PuLP, OR-Tools, Gurobi, CPLEX, SciPy, and ML frameworks
Familiarity with cloud-based data and compute platforms such as GCP, Databricks, Snowflake
Proven track record delivering production-grade Data Science or optimization solutions in retail, e-commerce, or supply chain environments
Strong ability to communicate complex quantitative findings to non-technical business audiences
Skill in structuring executive-ready presentations and influencing senior stakeholders
Experience managing multiple workstreams with prioritization, milestone tracking, and stakeholder communication
Fluency in causal inference and experimentation, including A/B testing, DiD, and Synthetic Control
Ability to design measurement frameworks isolating the impact of Data Science model recommendations
Familiarity with retail business processes, particularly Merchandising, Inventory Planning, Allocation, Pricing, or Sourcing
Embodies Gap Inc. Values-Based Leadership Behaviors
Demonstrated ability to coach, develop, and retain Data Science talent
Comfortable giving direct feedback and navigating performance conversations with care and clarity