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About the Role
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.
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.
Requirements
- 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
Skills
- Machine learning
- Statistical modeling
- Experimentation
- Data querying languages (e.g. SQL)
- Scripting languages (e.g. Python)
- R
- SAS
- Matlab
- Statistical models
- Data visualization
- AWS QuickSight
- Tableau
- R Shiny
- Data pipelines
Location
- USA, CO, Denver
Work Type
- Full-time
Experience Level
- Data Scientist III
- 5+ years
- 4+ years
- 2+ years
Salary/Compensations
- 159,200.00 - 215,300.00 USD annually
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
- Parental leave
About the Company
- 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.
Equal Opportunity
- 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 [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.