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Senior Data Scientist

1 month ago


San Francisco, California, United States Gap, Inc. Full time
Job Title: Senior Data Scientist

Join our team of data science experts at Gap Inc. and contribute to shaping the company's inventory management strategy through advanced data science and forecasting techniques.

About the Role:

We are seeking a highly skilled Senior Data Scientist to join our Forecasting Team. As a key member of the team, you will be responsible for building and deploying data and predictive analytics capabilities, in partnership with GapTech, PDM, Central Marketing & business partners across our brands.

Key Responsibilities:
  • Develop 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.
Requirements:
  • 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.
  • Advanced proficiency in modern analytics tools and languages such as Python, R, Spark, SQL.
  • Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions.
  • Mid-level career experience in Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field.
  • People mentoring experience, ability to work independently on large scale projects.
  • Full stack experience across analytics, data science, machine learning, and data engineering.
What We Offer:

As a Senior Data Scientist at Gap Inc., you will have the opportunity to work with a talented team of data science experts, contribute to the development of cutting-edge data science and forecasting techniques, and make a meaningful impact on the company's inventory management strategy.

We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.

Join our team and be part of shaping the future of data science at Gap Inc.