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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Gap Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $197,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, Cloud Computing, Computer Engineering, R (Programming Language), Apache Hive, Python (Programming Language), Machine Learning, Azure Machine Learning, Software Engineering, SQL Databases, Large Language Models, Multi-Agent Systems, Apache Spark, Deep Learning, Information Technology, Data Analytics, Data Pipelines, Databricks - **Published:** September 3, 2026 - **Apply:** https://www.gapinc.com/en-us/jobs/w82/05/senior-data-scientist ## About the Role Master\xe2\x80\x99s 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 ## Description 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: $197,000- $202,000Employee 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.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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)