> Markdown version of [/jobs/ext/3960066-manager-iii-data-science-amz9890706](https://www.wearedevelopers.com/jobs/ext/3960066-manager-iii-data-science-amz9890706). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager III, Data Science - AMZ9890706 - **Company:** Amazon.com, Inc. - **Location:** Arlington, VA, United States - **Salary:** $181,638.0 - $236,900.0 - **Contract:** Permanent contract - **Skills:** Python (Programming Language), Machine Learning, Information Technology, Data Management - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/manager-iii-data-science-amz9890706-arlington-va--7dc2a9f5-18a5-4200-b30c-68c7ac592a18 ## About the Role Data Science, Data Science, Machine Learning, Production Machining, Establish Priorities, Business Analysis, Performance Analysis, Team Lead/Manager, Data Management, Production Control, PhD or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related field and five years of experience in the job offered or a related occupation. Employer will accept a master's degree or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related field and seven years of experience in the job offered or a related occupation as equivalent to a PhD and five years of experience. Must have five years of experience in the following skill(s): (1) programming in Python or R. Must have one year of experience in the following skill(s): managing scientists or machine learning engineers. ## Description Manage a team of data and applied scientists delivering production machine learning (ML) and experimentation pipelines. Research, develop, and deploy production ML models. Support, monitor, and improve production ML models. Perform analysis on business performance and make recommendations to improve products. Set team research roadmap and prioritization on a routine basis. Propose analytics approaches to solve new business problems.