Data Scientist II

Job not on LinkedIn

13 hours ago

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

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Gap Inc.

WebsiteLinkedInAll Job Openings

B2C • Fashion • Retail

Gap Inc. is a leading global company that owns and operates some of America's most iconic clothing brands, including Old Navy, Gap, Banana Republic, and Athleta. The company aims to inspire self-expression through its diverse range of apparel and accessories. In addition to its focus on fashion and retail, Gap Inc. is committed to addressing social and environmental issues, striving to bridge gaps in equity, opportunity, and climate through various initiatives. The company seeks to make a positive impact in communities and is actively engaged in fostering inclusion and sustainable practices. Gap Inc. is listed on the New York Stock Exchange under the symbol GAP and is dedicated to creating a high-performing and culturally influential brand portfolio.

10,000+ employees

Founded 1969

👥 B2C

👗 Fashion

🛒 Retail

💰 Post-IPO Debt on 2020-05

📋 Description

• Build, validate, 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. • Build networks across the organization and partners to anticipate leader requests and influence data-driven decision making. • Guides discussions and empowers more junior team members to identify best solutions.

🎯 Requirements

• Required BS with 7+ years of experience (or MS with 5+ years) in Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field. • Experience in developing advanced algorithms using machine learning (ML), statistical, and optimization methods to enhance various business components in the retail sector. • 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. • Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments. • People mentoring experience, ability to work independently on large scale projects. • Proven ability to lead teams in solving unstructured technical problems to achieve business impact.

🏖️ Benefits

• Professional development opportunities