Data Scientist II
Gap Inc.
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
AzureCloudPythonSparkSQL
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningDeep Learningstatistical modelsdata analysisforecasting modelspredictive modelingtime series analysiscausal MLtransformer-based algorithmsoptimization methods
Soft skills
communicationcollaborationmentoringinfluencingproblem-solvingindependenceleadership