Senior Data Scientist

Gap Inc

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: San Francisco, CA
Salary: $194,834–$287,900 / yr
Posted: 7 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $158k

This role $241k

$82k most similar roles pay here $310k

This role pays more than 95% of similar roles. Most pay $126,800–$189,982 — the shaded band above. At the midpoint, this role pays about $241k versus about $158k for comparable roles.

Based on 240 similar postings.

Employer

About Gap Inc

Gap Inc. is a leading global specialty retailer offering clothing, accessories, and personal care products for men, women, and children

Gap Inc currently has 8 open roles on FindRole.

Most-posted roles

View all roles at Gap Inc

At a glance

TL;DR · Senior Data Scientist

Role Posting Log in to save

As a Senior Data Scientist, you will develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large, complex datasets from multiple disparate sources. You will build, validate, and maintain Machine Learning, Deep Learning, and Agent-based models while designing scalable end-to-end data pipelines and intelligent system frameworks. Your daily work involves applying predictive and generative methods, such as regression, boosted trees, ANN/CNN, LLM fine-tuning, RAG, and multi-agent systems to business use cases. You will utilize Python, R, Spark, Hive, SQL, and cloud platforms like Azure ML, Databricks, Vertex AI, or AWS SageMaker. The role focuses on creating intelligent automation systems to improve operational efficiency and customer experience while translating complex technical results into actionable insights for stakeholders to align AI innovation with product and business strategies.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

Skills

Python R Spark Hive SQL Machine Learning Deep Learning LLM Fine-tuning RAG Multi-agent Systems Azure ML Databricks Vertex AI AWS SageMaker Data Pipelines Distributed Processing

What you'll do

Develop algorithms and automated processes to cleanse, integrate, and evaluate large datasets from disparate sources.
Design and build scalable end-to-end data pipelines and intelligent system frameworks using distributed processing.
Build, validate, and maintain machine learning, deep learning, and agent-based models while optimizing their performance.
Apply predictive and generative AI methods, including LLM fine-tuning and RAG, to specific business use cases.
Deploy AI agents and automation systems to improve decision-making and operational efficiency.
Translate complex technical results into actionable insights and recommendations for non-technical stakeholders.
Use Python, Spark, SQL, and cloud platforms like Databricks or AWS SageMaker to deliver scalable solutions.

What we're looking for

Master's degree or equivalent in Computer Science, Computer Engineering, Statistics, Math, Business Analytics, or a related field.
Five years of experience in the job offered or a related role.
Experience developing algorithms and automated processes to cleanse, integrate, and evaluate large datasets from disparate sources.
Proficiency in designing scalable end-to-end data pipelines and intelligent system frameworks using distributed processing.
Experience building, validating, and maintaining ML, DL, and agent-based models while optimizing performance.
Expertise in predictive and generative/agentic AI methods including regression, boosted trees, ANN/CNN, LLM fine-tuning, RAG, and multi-agent systems.
Proficiency with Python, R, Spark, Hive, SQL, and cloud AI/ML platforms like Azure ML, Databricks, Vertex AI, or AWS SageMaker.
Ability to translate complex technical results into actionable business outcomes for stakeholders.

Save