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Senior Data Scientist (301811)

Gap San Francisco, CA
  • Expired: 8 days ago. Applications are no longer accepted.
Description

The Product Operations Advanced Analytics and Data Science Team at Gap Inc. is a research team that applies techniques from operations research and machine learning to drive business benefits for Gap Inc. and its brands.


The team’s focus is on creating analytical capabilities to support product operations at Gap Inc. Areas of expertise include demand forecasting, inventory replenishment, inventory and supply chain optimization, pricing, product testing, product attributes, flexible inventory, and supply chain initiatives.



  • Build, validate, and maintain Operations Research (OR) and/or AI( Machine Learning (ML) /Deep learning), models
  • Provide quantitative research and analysis for identifying new business opportunities
  • Provide thought leadership in analytics and modeling
  • Synthesize findings, prepare presentations and assist in presenting findings to all levels of management
  • Provide framework/methodology for measurement and feedback mechanism for models
  • Manage analytical projects/initiatives of complex scale
  • Provide thought the leadership on methodologies and analytical roadmaps
  • Ability to mentor data scientists and interns
  • Collaborate within the team and outside the team to solve complex problems


Qualifications
  • Proven experience in areas of optimization, statistics, machine learning, and big data technologies
  • Proven ability to develop and apply analytic solutions to solve business problems
  • Ability to work both at a detail level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change
  • Experience developing short and long term visions for solutions that have significant business impact
  • Demonstrated examples of working with business partners to deliver a solution that met objectives
  • Knowledge of inventory management, merchandising, pricing, supply chain management, and optimization principles and concepts
  • Experience developing and working with inventory optimization and/or forecasting approaches for retail software or the retail industry
  • Ability to collaborate with cross-functional teams and influence product and analytics roadmap
  • Masters in Operations Research, Statistics, Math, Computer Science, Industrial Engineering or related field. PhD is a plus.
  • 3+ yrs. of professional experience w/PhD, 5+ yrs. without PhD
  • Hands-on experience with data analysis, statistical, optimization and simulation packages (SQL, Python, Tensorflow, etc)
  • Experience working for retailers, consulting to retailers is highly desirable
  • Ability to communicate effectively with cross-functional teams
  • Experienced at working with business process owners to understand the process impact

Gap

Address

San Francisco, CA
USA