Data Scientist 2

Gap Inc; San Francisco (CA); Remote; USD 207,000 - 217,000; Full time

Benefits offered by this job

Merchandise discount

Competitive PTO

401(k) with company match

Employee stock purchase plan

Job summary

Gap Inc. is seeking a Senior Machine Learning Engineer to design, build, and maintain production-scale ML pipelines for our e-commerce platforms across multiple brands.

You will implement transformer-based and embedding-based models, handling data ingestion, feature engineering, model training, and monitoring in a production environment. You will collaborate with Product Managers and cross-functional teams to translate business requirements into robust technical designs, optimize cloud

Qualifications

• Master’s degree in Data Science, Computer Science, Computer Information Systems or related field with 4+ years of work experience.
• Experience designing end-to-end ML pipelines including data ingestion, feature engineering, training, inference and monitoring.
• Familiarity with cloud ML platforms, MLOps, and production-grade software practices.

Responsibilities

• Design and maintain production-scale ML pipelines for e-commerce recommendations.
• Implement and optimize transformer-based and embedding-based models for personalization.
• Collaborate with Product Managers and cross-functional teams to translate requirements into scalable architectures.

Skills

PySpark

Azure Databricks

Delta Lake

Python

SQL

MLOps

Education

Master’s degree in Data Science, CS, or related field

Tools

GitHub Actions

Databricks workflows

CI/CD

Job description

About Gap Inc.

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.
Our portfolio—Old Navy, Gap, Banana Republic and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers.
Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength and movement.
We’re driven by a shared purpose: to bridge gaps—between people, perspectives and possibilities—to create a better world.
We’re building a team that performs at a high level—people who think boldly, take ownership and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.

About Gap Inc.

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.
Our portfolio—Old Navy, Gap, Banana Republic and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers.
Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength and movement.
We’re driven by a shared purpose: to bridge gaps—between people, perspectives and possibilities—to create a better world.
We’re building a team that performs at a high level—people who think boldly, take ownership and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.

About The Role

Designs, develops, and maintains production-scale distributed machine learning pipelines using PySpark, Databricks, Delta Lake, MLflow, and Unity Catalog to support e-commerce recommendation systems across multiple brands and markets. Implements advanced machine learning and deep learning models, including neural collaborative filtering and transformer-based sequential recommendation systems, and integrates them into end-to-end production workflows. Owns complete machine learning workflows, including data ingestion, feature engineering, model training, inference, versioning, and automated refresh processes, operating with minimal technical supervision. Develops advanced feature engineering frameworks that combine multi-modal product attributes, customer behavioral signals, and temporal weighting logic to enable large-scale personalization. Collaborates directly with Product Managers and cross-functional partners to translate business requirements into technical system designs, define success metrics, and document implementation constraints. Builds and maintains CI/CD workflows and deployment automation using GitHub Actions and Databricks workflows to support testing, validation, and production releases of machine learning systems. Designs and implements data governance, validation, and monitoring mechanisms to ensure data quality, lineage, reliability, and compliance of production ML assets. Optimizes distributed processing performance and cloud resource utilization to balance model accuracy, processing latency, and infrastructure cost constraints. Telecommuting permissible from any location in the US. Salary Range: $206,565 - $216,565 Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

What you'll do

• Transformer-based deep learning architectures, embedding-based modeling techniques, recommendation systems, personalization systems, collaborative filtering, content-based filtering, matrix factorization, re-ranking techniques, production-scale machine learning systems, MLOps practices, model lifecycle management, ML pipeline automation;
• Azure Databricks, Apache Spark (PySpark), Delta Lake, and distributed data processing;
• CI/CD using GitHub Actions;
• Cloud-based machine learning platforms, eCommerce analytics, clickstream data analysis, customer behavior analytics, and large-scale data integration and cleansing;
• A/B testing methodologies, KPI analysis, advanced feature engineering, supervised learning, unsupervised learning; and
• Python, SQL, production-grade code development, cross-functional collaboration.

Who you are

Master’s degree in Data Science, Computer Science, Computer Information Systems or related field and 4 years of work experience in the job offered or a related role.

Benefits at Gap Inc.

• 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.*
• See more of the benefits we offer.
• For eligible employees

Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.