Manager III, Data Science - AMZ14164.12

Amazon Inc.; Herndon (VA); On-site; USD 175,000 - 237,000; Full time

Benefits offered by this job

Sign-on bonus

Restricted stock units

Medical and other benefits

Job summary

Amazon Data Services, Inc. in Herndon, VA is seeking multiple Manager III, Data Science to lead a team of data scientists in building and deploying ML models for infrastructure capacity planning and global demand forecasting.

You will design predictive models, develop end-to-end ML pipelines, collaborate with engineering and finance, and present insights to senior leadership. A master’s degree and 5+ years of related experience are required, with strong Python and SQL skills.

Qualifications

• Master’s degree or foreign equivalent in a quantitative field and 5+ years of related experience.
• Alternative: Bachelor’s degree with 7+ years of progressively responsible experience.
• 5 years applying statistical and machine learning models to large-scale systems.
• 2 years of experience leading teams in a data science or ML environment.
• 5 years of experience building automated analytical or ML pipeline systems.
• 5 years of experience in SQL.
• 5 years of experience in Python.

Responsibilities

• Lead a team of data scientists in developing and deploying ML models for infrastructure capacity planning and demand forecasting at global scale.
• Design predictive models and statistical frameworks to optimize resource utilization and inform long-term infrastructure investment decisions.
• Develop risk-based planning approaches utilizing advanced statistical methods and ML techniques to quantify uncertainty and set operational targets.
• Build and maintain end-to-end ML pipelines for model training, inference, and monitoring in production environments.
• Collaborate with engineering, product, and finance partners to translate complex business requirements into quantifiable metrics and automated decisionsupport systems.
• Design experimentation frameworks and model validation methodologies to ensure accuracy and reliability of forecasts.
• Lead weekly business reviews of model performance, presenting findings and recommendations to senior leadership.
• Manage and mentor a team of data scientists and engineers across multiple levels, driving best practices in ML development, code quality, and production deployment.
• Utilize Python, SQL, and cloud-based ML infrastructure to deliver scalable data science solutions.

Skills

Team leadership

Machine learning

Statistical modeling

Python

SQL

Cloud infrastructure

Education

Master’s degree in Computer Science / Mathematics / Statistics / ML or related quantitative field

Bachelor’s degree in Computer Science / Mathematics / Statistics or related field

Tools

Cloud platforms

Job description

Description

Employer: Amazon Data Services, Inc.

Position: Manager III, Data Science - AMZ14164.12

Location: Herndon, VA

Multiple Positions Available:

• Lead a team of data scientists in developing and deploying machine learning models for infrastructure capacity planning and demand forecasting at global scale.
• Design predictive models and statistical frameworks to optimize resource utilization and inform long-term infrastructure investment decisions.
• Develop risk-based planning approaches utilizing advanced statistical methods and ML techniques to quantify uncertainty and set operational targets.
• Build and maintain end-to-end ML pipelines for model training, inference, and monitoring in production environments.
• Collaborate with engineering, product, and finance partners to translate complex business requirements into quantifiable metrics and automated decisionsupport systems.
• Design experimentation frameworks and model validation methodologies to ensure accuracy and reliability of forecasts.
• Lead weekly business reviews of model performance, presenting findings and recommendations to senior leadership.
• Manage and mentor a team of data scientists and engineers across multiple levels, driving best practices in ML development, code quality, and production deployment.
• 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 – Affimative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Basic Qualifications

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.

• 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.

Preferred Qualifications

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.