# Data Scientist I, NEST at Amazon

Amazon is hiring a Data Scientist I, NEST in Bellevue, United States. It pays $108k-$160k a year and Level rates it Uses AI ●●○○; you can [apply on Amazon](https://jobsbylevel.com/go/a0fe21c1-a9c6-484f-ac9c-c911b2e7280b?utm_medium=ai-agent).

AI Level 2, AI centrality 43 out of 100. US, WA, Bellevue.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 2 (score 43 out of 100)
- Location: US, WA, Bellevue
- Salary: $108k-$160k
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/a0fe21c1-a9c6-484f-ac9c-c911b2e7280b?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-scientist-i-nest-at-amazon-623724

## Description

Are you curious about turning complex data into actionable insights that shape how millions of customers experience Amazon? Do you enjoy building analytical models, testing hypotheses, and seeing your work drive real business decisions? We are looking for a Data Scientist to join our team at Amazon. In this role, you will apply statistical techniques, machine learning, and data analysis to solve well-defined business problems and deliver measurable improvements. You will work with large-scale datasets from multiple sources, build and validate models, and create metrics that quantify impact. This is an opportunity for a self-starter who is comfortable with ambiguity in data, thrives on collaboration with science and engineering partners, and is eager to grow their craft in a fast-paced environment. Key job responsibilities - Use statistical methods, machine learning algorithms, and data analysis techniques to translate well-defined business problems into data science solutions that improve processes and systems. - Gather, clean, and integrate large datasets from multiple sources to build and validate models, ensuring data integrity and adherence to best practices throughout the pipeline. - Design and deliver metrics, visualizations, and reports that compare results against benchmarks and original project goals, enabling clear and informed decision-making for stakeholders. - Collaborate with business, science, and engineering teams to understand customer needs, identify opportunities, and develop scalable analytical solutions using tools such as Python, R, or SQL. - Evaluate opportunities to integrate generative artificial intelligence tools into workflows, refining outputs and applying responsible practices to augment productivity and solution quality. About the team Our team is focused on using data science to help Amazon make smarter, faster decisions that benefit customers. We build analytical models and machine learning solutions that operate at scale, and we value rigorous methodology paired with clear communication. You will join a collaborative group of scientists and engineers who are passionate about learning from one another and pushing the boundaries of what data can do. If you are excited about growing your career in an inclusive, supportive environment where your contributions have tangible impact, we would love to hear from you. Basic qualifications - 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience - 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience - Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) Preferred qualifications - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive) - Experience working with or evaluating AI systems - Experience applying quantitative analysis to solve business problems and making data-driven business decisions - Experience effectively communicating complex concepts through written and verbal communication 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-scientist-i-nest-at-amazon-623724

Source: https://jobsbylevel.com/jobs/data-scientist-i-nest-at-amazon-623724

## Cite this page

Level. https://jobsbylevel.com/jobs/data-scientist-i-nest-at-amazon-623724.

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