Principal Machine Learning Engineer
Gap Inc.
full-time
Posted on:
Location Type: Office
Location: Folsom • California • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
Tensorflow
About the role
- Design, develop, and deploy enterprise planning, or decision-support systems, forecasting in retail, consumer, marketplace, or supply-chain domains that support multi-horizon planning and scenario evaluation
- 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
- 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
- Create measurement strategies for accuracy, bias, stability, and business outcomes; run back tests and controlled experiments where feasible
- Communicate meaningful, actionable insights from large data and metadata sources to stakeholders
- Collaborate with others in key initiatives and their implementation
- Responsible for planning, budget and end results; set policies and strategic direction for area/team
Requirements
- Experience with ML and classical predictive techniques such as logistic regression, decision trees, non linear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages
- Experience in econometric demand modeling and prescriptive analytics, including elasticity, promo lift, Bayesian methods, and optimization-based decision modeling
- Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change
- Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building
- Evaluate sometimes complex situations using multiple sources of information (internal and external sources)
- Able to filter, prioritize, analyze, and validate potentially complex
Benefits
- Health insurance
- Retirement plans
- Flexible work arrangements
- 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 Learninglogistic regressiondecision treesnon-linear regressionArtificial Neural NetworksConvolutional Neural Networksboosted treesSupport Vector MachinesTensorFlow
Soft skills
collaborationrelationship buildingcommunicationanalytical thinkinginfluencerecommendation makingproblem-solvingstrategic planningbudget managementstakeholder engagement