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About the Role
Lead a cross-functional Data Science team focused on building and deploying AI/ML solutions for Gap Inc. brands. This role emphasizes optimization techniques across various business functions and requires strategic partnership with business and technology leaders.
Responsibilities
- Lead the team with strong domain knowledge, aligning DS projects with organizational strategies.
- Establish a culture of rigorous measurement and data-driven insights.
- Align team deliverables with pressing business needs and Gap Inc. Strategic Priorities.
- Foster a learning atmosphere for researching retail industry, macro-economic, and consumer trends.
- Proactively identify business opportunities and risks, providing recommended actions to leaders.
- Lead the design, development, and deployment of optimization models for core retail functions.
- Guide the team in selecting and applying appropriate optimization approaches.
- Establish best practices for optimization 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 by designing clear interfaces for business users.
- Provide coaching and guidance on technical and communication skills to direct reports.
- Communicate effectively across technical and non-technical teams, presenting complex DS insights clearly.
- Anticipate obstacles and stakeholder resistance, adjusting team approach as needed.
- Hold the team accountable for timely and efficient deliverables while maintaining psychological safety.
- Model strategic partnership within GTS and across brands, fostering strong cross-functional relationships.
- Guide the team in developing data-driven solutions and removing obstacles.
- Ensure the team administers rigorous testing methodologies for accurate and unbiased insights.
- Guide the team through large-scale data projects using appropriate technical tools and languages.
- Effectively prioritize multiple concurrent projects based on business priorities, timelines, and budgets.
- Cultivate a learning environment for sharing and adapting research, modeling techniques, and analytical methods.
- Act as a role model for trusted, strategic partnership, establishing credibility as DS and optimization experts.
Requirements
- 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 their 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 (e.g., PuLP, OR-Tools, Gurobi, CPLEX, SciPy) and ML frameworks.
- Familiarity with cloud-based data and compute platforms (e.g., GCP, Databricks, Snowflake).
- Proven track record of delivering production-grade DS or optimization solutions in a retail, e-commerce, or supply chain environment.
- Strong ability to communicate complex quantitative findings to non-technical business audiences.
- Demonstrated skill in structuring executive-ready presentations and influencing senior stakeholders.
- Experience managing multiple workstreams simultaneously with clear prioritization, milestone tracking, and stakeholder communication.
- Fluency in causal inference and experimentation (A/B testing, DiD, Synthetic Control).
- Ability to design measurement frameworks that isolate the impact of DS model recommendations.
- Familiarity with retail business processes (Merchandising, Inventory Planning, Allocation, Pricing, or Sourcing).
- Understanding of how DS and optimization capabilities create commercial value in these domains.
- Embodies Gap Inc. Values-Based Leadership Behaviors: Centers on the Customer, Creates with Curiosity, Collaborates with Candor, and Champions Excellence.
- Strong people manager with demonstrated ability to coach, develop, and retain top DS talent.
- Comfortable giving direct feedback and navigating performance conversations with care and clarity.
Skills
- Data Science
- Analytics
- AI
- ML
- Optimization
- Python
- SQL
- PuLP
- OR-Tools
- Gurobi
- CPLEX
- SciPy
- ML frameworks
- GCP
- Databricks
- Snowflake
- Causal Inference
- Experimentation
- A/B testing
- DiD
- Synthetic Control
- Merchandising
- Inventory Planning
- Allocation
- Pricing
- Sourcing
- People Leadership
- Coaching
- Communication
- Stakeholder Management
Experience Level
- 7+ years of experience in Data Science, Analytics, or a closely related quantitative field
- At least 2 years in a people leadership role
About the Company
- Gap Inc. brands