Manager III, Data Science - AMZ14164.12

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

Job summary

Amazon Data Services, Inc. is seeking a lead data scientist to guide a team in developing and deploying ML models for global capacity planning and forecasting. You will design predictive frameworks to optimize resource use and inform long-term infrastructure investments.

You will build end-to-end ML pipelines, collaborate with engineering and finance, and mentor a team to adopt best practices in production ML. This role is based in Herndon, VA with a 40-hour workweek.

Qualifications

• Master’s degree or foreign equivalent in CS/Math/Statistics/ML with 5 years of relevant experience.
• Alternatively, a Bachelor’s degree with 7 years progressively responsible experience in the field.
• 5 years applying statistical and machine learning models to large-scale systems.
• 2 years leading teams in a data science or ML environment.
• 5 years building automated analytic or ML pipeline systems.
• 5 years experience in SQL.
• 5 years experience in Python.

Responsibilities

• Lead a team of data scientists in developing and deploying ML models for capacity planning and forecasting.
• Design predictive models and frameworks to optimize resources and inform infrastructure decisions.
• Develop risk-based planning using advanced statistics and ML to quantify uncertainty and targets.
• Build and maintain end-to-end ML pipelines for training, inference and monitoring.
• Collaborate with engineering, product and finance to translate requirements into metrics and automation.
• Design experimentation and model validation methodologies for forecast accuracy.
• Lead weekly reviews of model performance and present findings to senior leadership.
• Mentor data scientists and engineers across levels, promoting best practices in ML deployment.
• Utilize Python, SQL, and cloud-based ML infrastructure to deliver scalable DS solutions.

Skills

SQL

Python

Team leadership

Machine learning

Education

Master’s degree in Computer Science/Mathematics/Statistics/ML

or Bachelor’s degree with 7 years experience

Job description

Job ID: 10586809 | Amazon Data Services, Inc.

Employer: Amazon Data Services, Inc. Location: Herndon, VA

Multiple Positions Available:

Job Responsibilities

• 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 decision support 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 – Affi…

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;
• 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.

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.

Job details

• USA, VA, Herndon
• Corporate Operations

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.