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Senior Data Scientist

SF - 2 Folsom

Pay
$194,834–287,900/yearAnnual period assumed · Location-specific pay — pay source
Develop software programs, algorithms, and automated processes that cleanse, integrate, and evaluate large, complex datasets from multiple disparate sources. Manipulate and engineer data across diverse domains, collaborating with other data scientists, engineers, and AI teams to prepare scalable data pipelines and intelligent system frameworks. Build, validate, and maintain AI (Machine Learning, Deep Learning, and Agent-based) models; diagnose and optimize performance; apply them to business-focused analytical and automation use cases. Design and deploy AI agents and intelligent automation systems that augment decision-making, improve operational efficiency, and enhance customer experience. Communicate meaningful, actionable insights and AI-driven recommendations to stakeholders, translating complex technical results into clear business outcomes. Build cross-functional partnerships and consensus to align AI innovation with product, technology, and business strategies. Lead cross-functional collaboration, mentor data teams, and influence analytics and AI roadmaps; assess complex situations to recommend AI-driven solutions with measurable impact. Telecommuting permissible from anywhere in the US. Salary Range: $194,834 - $287,900 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 Developing algorithms and automated processes to cleanse, integrate, and evaluate large datasets from disparate sources;
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What you’ll work on

Full posting

Develop software programs, algorithms, and automated processes that cleanse, integrate, and evaluate large, complex datasets from multiple disparate sources.

Salary Range: $194,834 - $287,900 Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location.

What you’ll bring

All qualifications

Core experience

  • Master’s degree or foreign degree equivalent in Computer Science, Computer Engineering, Statistics, Math, Business Analytics, or related field and five (5) years of experience in the job offered or a related role
Qualification wording
Master’s degree or foreign degree equivalent in Computer Science, Computer Engineering, Statistics, Math, Business Analytics, or related field and five (5) years of experience in the job offered or a related role

Tools in this posting

  • Python
  • R
  • SQL
  • AWS
  • Azure
  • Databricks
  • Hive
  • SageMaker
  • Spark
Source — Tool mentions in context
- Communicating AI insights and recommendations by translating technical results into clear, actionable business outcomes; and - Utilizing Python, R, Spark, Hive, SQL, and cloud AI/ML platforms (e.g., Azure ML, Databricks, Vertex AI, AWS SageMaker) to deliver scalable solutions and support cross-functional alignment Who You Are

Job description

View original posting ↗

About the Role

Develop software programs, algorithms, and automated processes that cleanse, integrate, and evaluate large, complex datasets from multiple disparate sources. Manipulate and engineer data across diverse domains, collaborating with other data scientists, engineers, and AI teams to prepare scalable data pipelines and intelligent system frameworks. Build, validate, and maintain AI (Machine Learning, Deep Learning, and Agent-based) models; diagnose and optimize performance; apply them to business-focused analytical and automation use cases. Design and deploy AI agents and intelligent automation systems that augment decision-making, improve operational efficiency, and enhance customer experience. Communicate meaningful, actionable insights and AI-driven recommendations to stakeholders, translating complex technical results into clear business outcomes. Build cross-functional partnerships and consensus to align AI innovation with product, technology, and business strategies. Lead cross-functional collaboration, mentor data teams, and influence analytics and AI roadmaps; assess complex situations to recommend AI-driven solutions with measurable impact. Telecommuting permissible from anywhere in the US.


Salary Range: $194,834 - $287,900
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

  • Developing algorithms and automated processes to cleanse, integrate, and evaluate large datasets from disparate sources;
  • Designing scalable end-to-end data pipelines and intelligent system frameworks using distributed processing and querying;
  • Building, validating, and maintaining ML/DL/agent-based models, including diagnosing and optimizing performance;
  • Applying predictive and generative/agentic AI methods (e.g., regression, boosted trees, ANN/CNN, LLM fine-tuning, RAG, multi-agent systems) to business use cases;
  • Designing and deploying AI agents and automation systems to improve decisions, operational efficiency, and customer experience;
  • Communicating AI insights and recommendations by translating technical results into clear, actionable business outcomes; and
  • Utilizing Python, R, Spark, Hive, SQL, and cloud AI/ML platforms (e.g., Azure ML, Databricks, Vertex AI, AWS SageMaker) to deliver scalable solutions and support cross-functional alignment

Who You Are

Master’s degree or foreign degree equivalent in Computer Science, Computer Engineering, Statistics, Math, Business Analytics, or related field and five (5) years of experience in the job offered or a related role

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on gapinc.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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SF - 2 Folsom

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Status in our records
Active
First seen by us
Sep 4, 2026
Recorded sightings
35
Last seen by us
Sep 25, 2026

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