Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy, Athleta, INTERMIX and Hill City — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years.
But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us.
ABOUT THE ROLE
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 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.
WHAT YOU'LL DO
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 and deliver business solutions.
WHO YOU ARE
3+ years of professional experience (1 years with Ph.D.). Preferably within demand forecasting, inventory replenishment, inventory or supply chain optimization.
Hands-on experience with data analysis, statistical, optimization and simulation packages (SQL, Python, Tensorflow, etc)
Proven experience in areas of optimization, statistics, machine learning, and big data technologies
Ability to work both at a detail level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change and providing business solutions.
Experience presenting and developing short and long term visions for solutions that have significant business impact
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
Experience working for retailers, consulting to retailers is highly desirable
Ph.D. or Masters in Operations Research, Statistics, Math, Computer Science, Industrial Engineering or related field.
About Gap Inc.
Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials.