Data Science Manager, Demand Science

Amazon Web Services
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Job Description

The Amazon Devices & Services Demand Planning and Product Development (DEPD) team is seeking an outstanding scientist and manager with strong analytical, communication and leadership skills to help with demand forecasting and supply optimization for the entire Amazon device family of products, services and accessories. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers globally.

We develop scalable and robust state-of-the-art data/analytics/ML and automation solutions that involve learning from different data sources and advanced descriptive, diagnostic, predictive prescriptive and cognitive models. With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.

In this role you will lead a team of scientists to tackle some of the hardest problems in demand planning. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data and ML models, building prototypes and exploring conceptually new solutions, to working with partner teams for prod deployment with time series forecasting. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.

You will be at the heart of a growing and exciting focus area for Amazon Devices and Services.

You are a science manager with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems.

Key job responsibilities

  • Manage a team of data, research and applied scientists, identify opportunities and develop science strategies.
  • Translate business questions and concerns into specific analytical questions that can be answered with available data using statistical methods.
  • Apply Statistical and Machine Learning methods to specific business problems and data.
  • Research and develop new methodologies for demand forecasting, alarms, alerts and automation with advanced models and methods.
  • Improve upon existing methodologies by adding new data sources and implementing model enhancements.
  • Drive scalable solutions.
  • Create and track accuracy and performance metrics (both technical and business metrics).
  • Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.
  • Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
  • Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
  • Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
  • Work with engineers to develop efficient data querying and modeling infrastructure.
    A day in the life
    This role will be a Problem Solver, Doer, Detail Oriented, Communicator and Influencer.
  • Problem Solver: Ability to utilize exceptional modeling and problem-solving skills to work through different challenges in ambiguous situations.
  • Doer: You’ve successfully delivered end-to-end operations research projects, working through conflicting viewpoints, model intractability, and data limitations.
  • Detail Oriented: You have an enviable level of attention to details.
  • Communicator: Ability to communicate analytical results to senior leaders, and peers.
  • Influencer: Innovative scientist with the ability to identify opportunities and develop novel approaches in a fast-paced and changing environment, and gain support with data.

About the team
The team is a new focused science team looking for help with validating the technical decisions we are making and figuring out how to best solve our internal and partner’s needs.

This role is available for the following locations: Seattle/Bellevue, Washington; Arlington, Virginia (HQ2); Denver, Colorado; Bay Area/Los Angeles Metro, California; and Nashville, Tennessee. (other US Locations can be discussed further)


  • Master's Degree with 8+ years experience in Machine Learning, AI, Decision Science, Operations Research, Industrial and Systems Engineering, Statistics, Applied Mathematics, Computer Science, Business Analytics, Data Science, Economics, or a related field
  • 8+ years of experience of building predictive models for business and proficiency in model development and model validation.
  • 5+ years of experience in a stakeholder or customer-facing analyst or scientist role.
  • Strong programing skills in Python, R, SQL or Scala.
  • Experience with time series modeling and machine learning forecasting.
  • Experience hiring and leading experienced scientists as well as a successful record of developing junior members to a successful career track.
  • Evidence of doing or directing science work with high positive impact on business outcomes.
  • Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, that have been successfully integrated in production systems or informed policy decisions.


  • PhD degree in Machine Learning, AI, Decision Science, Operations Research, Industrial and Systems Engineering, Statistics, Applied Mathematics, Computer Science, Business Analytics, Data Science, Economics, or a related field
  • 10+ years of experience working in data science in a consumer product company
  • 5+ years of experience managing data scientists or similar roles.
  • Experience with AWS technologies like Redshift, S3, Sagemaker, EC2, Data Pipeline, & EMR.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

Company Info.

Amazon Web Services

Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).

  • Industry
    Information Technology
  • No. of Employees
  • Location
    410 Terry Ave N, Seattle, WA, USA
  • Website
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