Gap Inc. · 1 day ago
Principal Machine Learning Engineer
Pleasanton, CA
Full-time
Onsite
Lead/Staff
$210K/yr - $273K/yrGap Inc. is a company that bridges gaps in the world through its various brands, focusing on inclusivity and sustainable fashion. The Principal Machine Learning Engineer will design and develop systems to analyze big data, enhancing retail forecasting and analytics capabilities across the organization.
ApparelE-CommerceFashionLifestyleRetail
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
Qualification
Required
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
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
Benefits
Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
One of the most competitive Paid Time Off plans in the industry.
Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.
Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.
Employee stock purchase plan.
Medical, dental, vision and life insurance.
Company
Gap Inc.
Gap Inc., a house of iconic brands, is the largest specialty apparel company in America.
Founded in 1969
10001+ employees
H1B Sponsorship
Gap Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (117)
2023 (151)
2022 (142)
2021 (111)
2020 (80)
Funding
Current Stage
Public CompanyTotal Funding
$2.25B2020-05-07Post Ipo Debt· $2.25B
1978-01-13IPO
Leadership Team
Richard Dickson
Chief Executive Officer
Sven Gerjets
EVP, Chief Technology Officer
Recent News
Digital Commerce 360
2025-12-12
Company data provided by crunchbase