Data Scientist, Devices, Devices Sales & Marketing
Listed on 2026-06-06
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Job : | Services LLC
OverviewThe candidate in this role will own delivery of science products and solutions to help Amazon Devices Sales and Marketing org. make better decisions: product recommendations to customers, segmentation, financial incrementality of marketing initiatives, A/B testing, and more.
Key Responsibilities- The Amazon Devices organization designs, produces and markets Echo Speakers, Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players, Ring and Blink Smart Home & Security products. The Devices Data Services (DDS) team provides Data Science, Analytics, and Engineering support to enable sales and marketing activities across all these product lines.
- Lead projects that span multiple organizations, coordinating experimentation, economic and causal analysis, and building predictive machine learning models.
- Serve as a strategic partner to product managers and engineers, solving modeling challenges, building production‑grade software, and communicating findings between technical and business stakeholders.
- Implement statistical or machine learning methods to solve specific business problems.
- Improve existing methodologies by developing new data sources, testing model enhancements, and fine‑tuning parameters.
- Contribute to the development of modern automated recommendation systems.
- Build customer‑facing reporting tools to provide insights, track model performance, and explain variance.
- Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback.
You will work with scientists, engineers, product managers, and marketers to develop new products that benefit our customers and help us reach our business goals. You will own solutions from end‑to‑end: conceptualization, prioritization, development, delivery, and productionalization.
About the TeamThe team is a full‑stack science group that empowers product, marketing, and other business leaders to better understand customers who use Amazon devices, make decisions on product development or optimization, and measure the effectiveness of their efforts against customer expectations. The focus is on building analytical frameworks that help the organization access data, understand customer decisions, and assess satisfaction.
Basic Qualifications- 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
- 2+ years of experience as a data scientist.
- 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and an understanding of parameters that affect performance.
- Bachelor's degree.
- Experience applying theoretical models in an applied environment.
- Experience in Python, Perl, or another scripting language.
- Experience in an ML or data scientist role with a large technology company.
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, please visit (Use the "Apply for this Job" box below). for more information.
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, optional 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 .
USA, WA, Bellevue – Salary range: – USD annually. The base salary range for this position is listed above. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location.
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