Senior Manager, Data Science

  • Amazon Web Services (AWS)
  • Dallas, TX, USA
  • Feb 15, 2024
Full-time Artificial Intelligence (AI) C++ Computer Science Data Science Java MATLAB Quantitative R Research Statistics

Job Description

Want to work for a fast-paced, innovative team? Want to work on ground-breaking initiatives? Want to pioneer new ways of staffing one of the largest private employers in history? We are seeking a strong data science leader for our science organization within Workforce Staffing.

Workforce Staffing is responsible for hiring hourly associates into our global fulfillment operation. Each year we hire hundreds of thousands of associates across the globe. Workforce Intelligence, a subsidiary of Workforce Staffing, is responsible for the data acquisition, engineering, research and programmatic insights to help WFS and Amazon scale that staffing to meet customer demand at an improved cost. Workforce Staffing relies on marketing to raise awareness of Amazon's hourly jobs, pay and benefits across thousands of locations but has significant opportunity to optimize those activities. This is where you come in.

The ideal candidate is a self-starter who is comfortable upholding high standards across a wide range of domains, can manage responsibility for large scale business impact and can communicate effectively with executive audiences. They are comfortable working with other engineering teams to architect their required data and infrastructure environments as well as with non-tech audiences to quantify business impact and establish roadmaps.

Key job responsibilities

You will be the science advisor to the head of WFI, driving overall strategy for the WFI science team. You will influence strategic decisions around which domains WFI should invest science resources in, and how to augment the science capabilities on the team through development and hiring.

On a day-to-day basis you will be responsible for making sure that the scientists on the team are solving the right problems, using the right techniques for the problem at hand, drawing the right conclusions and communicating appropriately to both the tech and non-tech stakeholders. You will raise the standards of science development and delivery. You will improve the review mechanism to deliver high quality outcomes while minimizing overhead.

You will take the lead in solving the most challenging science problems on the roadmap. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

We are open to hiring candidates to work out of one of the following locations:

Dallas, TX, USA


  • Masters degree in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics or equivalent)
  • 7+ years of experience in Data Science, Research Science or similar field
  • Demonstrated experience optimizing and scaling strategic initiatives through data and hands off the wheel models
  • 5+ years of experience leading technical and science talent


  • Demonstrated ability to drive impact through cross-organizational initiatives and working closely with software development and data engineering teams
  • Demonstrated ability to cultivate relationships with senior leaders and executives
  • Demonstrated ability to influence executives in changing the status quo
  • Skilled with Java, C++, or other programming language, as well as with one scripting language such as R, MATLAB, Python or others
  • Strong writer
  • Clear communicator

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

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,700/year in our lowest geographic market up to $324,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

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