Senior Data Science Manager – Global ML & Infrastructure Forecasting

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

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.