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Amazon Robotics:

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer ‘yes’ to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We are Amazon Robotics, and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.

Our Team:

As a Data Scientist on the Simulation Execution Analysis & Management team you’ll work closely with customers, other scientists, and engineers as we build tools to model and evaluate the robotic solutions driving Amazon’s global fulfillment and delivery network. The solution spaces our customers must explore are vast, and the amount of data to be processed is immense.

What we are looking for:

A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term, data-driven solutions. It will be a person who can select and use the right machine learning and statistical tools to bring clarity to complex questions and help drive decisions. While we don’t assume mastery in all areas, successful team members can speak and work competently in multiple domains.

The key strategic objectives for this role include:

· Leverage data to understand the dynamics of robotic systems—identify performance drivers, explore design tradeoffs, and quantify risk

· Communicate findings to technical and leadership teams alike to drive solution development

· Drive actions at scale to improve the efficiency, reliability and predictability of robotic automation solutions using scientific methods and decision making

· Utilize Amazon systems, Amazon Web Services (AWS), and other analytical tools to effectively work with petabytes of data

· Play a significant role in developing others

Inclusive Team Culture:

Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.


It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth:

We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we’ll help you get there. Our business is growing fast and our people will grow with it.

About the hiring group:

The Simulation Execution Analysis & Management team provides tools and analysis to facilitate our customers as we partner to evaluate new robotic solutions driving the future of Amazon’s global fulfillment and delivery network. The solution spaces we explore are vast, and the amount of data to be processed is immense.

Job responsibilities:

You’ll work side-by-side with our customers designing experiments, analyzing & interpreting results, and crafting visualizations to influence the design and operation of the next generation of robotic automation solutions at Amazon. You’ll leverage this first-hand experience to assist in the development of scientific applications to automate the experimentation process and help our customers hone in on optimal solutions with greater efficiency. Our scientists also work on cross-disciplinary efforts with other scientists within Amazon. See highlights of our innovative work at (

This role is a full time opportunity to join Amazon Robotics (40 hours/week) to start immediately. Come join us in either Seattle, WA, Austin, TX, Nashville, TN, North Reading, MA, or in our newly expanded innovation hub in Westborough, MA!


· Master’s degree (or Bachelor’s degree 3+ years of experience) in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science

· 1+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication

· 1+ years of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)

· Familiarity with statistical methods, experimental design, and machine learning techniques

· Proficiency in at least one querying language (e.g., SQL)

· Proficiency in at least one statistical/scripting languages (e.g., Python, R, Julia, Matlab)

· Basic fundamentals in data extraction, analysis, statistical modeling, and communication


· Masters in quantitative field (Data Science, Business Analytics, Computer Science, Mathematics, Statistics, or equivalent)

· Familiarity with statistical methods, experimental design, and machine learning techniques

· Ability to create data-driven visualizations to concisely describe complex systems

· Willing to learn AWS and big data analytic tools (EMR, AWS Athena, AWS Sagemaker)

· Ability to work on a diverse team or with a diverse range of coworkers

· Excellent communication and interpersonal skills

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