Principal Machine Learning Engineer

Gap Inc. • Pleasanton, CA

1d

About The Position

About the Role In this role, you are responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for businesses across the company. You will support the team in building data and analytics capabilities to enhance the analytical platform, partnering with Global Technology Solutions, Product, and business teams to advance retail forecasting across the organization. What You'll Do 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. Expertise in Time series forecasting: hierarchical/aggregated forecasting, reconciliation concepts, seasonality, and multi-horizon 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. Advanced proficiency in Python, Spark, and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure, GCP environments 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 Who You Are Experience with ML and classical predictive techniques such as logistic regression, decision trees, non linear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods 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 In-depth understanding of concepts and procedures within own subject area and understanding of procedures and concepts in other areas At Gap Inc., we’re more than the clothes we make. We’re a collective of brands united by the belief that real people can (and should) drive real change. We’re a company that’s been synonymous with equality and inclusivity since our founding. The first of our industry to translate our commitment to sustainability into true accountability. Made stronger by our global team’s unique personalities, passions and pride, we set out every day to make the world a bit bolder and a bit brighter.

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, and a track record for creating business impact with these methods
• 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
• In-depth understanding of concepts and procedures within own subject area and understanding of procedures and concepts in other areas

Responsibilities

• 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.
• Expertise in Time series forecasting: hierarchical/aggregated forecasting, reconciliation concepts, seasonality, and multi-horizon 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.
• Advanced proficiency in Python, Spark, and common scripting languages for E2E pipeline
• Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure, GCP environments
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees