Manager 3, Data Science
Amazon
Manager 3, Data Science
Amazon
Sells products online and rents cloud computing
Employer: Amazon Data Services, Inc.
Position: Manager III, Data Science - AMZ14164.12
Location: Herndon, VA
Multiple Positions Available:
1. Lead a team of data scientists in developing and
deploying machine learning models for infrastructure
capacity planning and demand forecasting at global
scale.
2. Design predictive models and statistical frameworks to
optimize resource utilization and inform long-term
infrastructure investment decisions.
3. Develop risk-based planning approaches utilizing
advanced statistical methods and ML techniques to
quantify uncertainty and set operational targets.
4. Build and maintain end-to-end ML pipelines for model
training, inference, and monitoring in production
environments.
5. Collaborate with engineering, product, and finance
partners to translate complex business requirements
into quantifiable metrics and automated decisionsupport systems.
6. Design experimentation frameworks and model
validation methodologies to ensure accuracy and
reliability of forecasts.
7. Lead weekly business reviews of model performance,
presenting findings and recommendations to senior
leadership.
8. Manage and mentor a team of data scientists and
engineers across multiple levels, driving best practices
in ML development, code quality, and production
deployment.
9. Utilize Python, SQL, and cloud-based ML infrastructure
to deliver scalable data science solutions.
(40 hours / week, 8:00am-5:00pm, Salary Range $175100 - $236900)
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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A Master’s degree or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related quantitative discipline and 5 years of experience in the job offered or related occupation. In the alternative, a Bachelor’s degree or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related quantitative discipline followed by 7 years of progressively responsible experience in the job offered or related occupation.
Experience must include:
5 years of experience applying statistical and machine learning models to large-scale systems;
2 years of experience leading teams in a data science or machine learning environment;
5 years of experience building automated analytical or ML pipeline systems;
5 years of experience in SQL; and
5 years of experience in Python.
The pay range for this position in Herndon, VA is $175100 - $236900 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Virginia Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
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All applicants must meet all the above listed requirements.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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