Data Scientist 3 - Amazon Devices Software & Services

Description

Application deadline: Nov 16, 2026

Are you excited about using data to shape decisions that reach millions of customers? Do you thrive on solving ambiguous, high-impact problems with creative analytical approaches? As a Data Scientist III at Amazon, you will lead the design and delivery of data science solutions that drive measurable business outcomes. You will apply your broad expertise across machine learning, statistical modeling, and experimentation to tackle complex challenges and uncover opportunities. In this role, you will influence business strategy through rigorous analysis, recommend the right scientific methods for each problem, and set standards that raise the bar for your team. You will collaborate across teams to understand how systems and processes interact, and you will build models and analyses that are actionable, extensible, and easy for others to build upon.

Key job responsibilities
- Lead the design and implementation of data science solutions for complex or ambiguous problems, applying machine learning, statistical modeling, and experimentation to deliver measurable business impact.
- Evaluate cross-team perspectives and model interactions among teams, processes, and systems to recommend the right data science strategy and methods for each challenge.
- Drive data science best practices and set standards across your team, including building reproducible models and analyses that others can contribute to and extend.
- Mentor and develop other data scientists by reviewing their analyses, providing technical feedback, and sharing expertise through presentations and knowledge-sharing sessions.
- Identify gaps in current metrics and propose new measurements or data sources, challenging assumptions and proactively restructuring approaches to resolve root causes of recurring problems.

A day in the life
You might start your morning reviewing the results of a model you recently deployed, assessing its performance against key business metrics. Later, you join a cross-functional meeting to align on the analytical approach for a new initiative, translating business questions into well-defined scientific problems. In the afternoon, you pair with a teammate to debug a data pipeline issue, then spend time prototyping a new algorithm. You close the day by writing up findings for a stakeholder review, ensuring your recommendations are clear and backed by data.

About the team
Our team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. Our team is focused on using data science to help Amazon make better, faster decisions for our customers. We value collaboration, intellectual rigor, and a willingness to question the status quo. You will work alongside scientists, engineers, and business partners who are passionate about turning data into action. We are investing in new modeling capabilities and measurement frameworks, and your contributions will directly shape the direction of that work. If you are looking for a role where your expertise will be valued and your growth supported, we would love to hear from you.

Basic Qualifications

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.