Data Scientist

Amazon is hiring a Data Scientist. It pays $175k-$237k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Uses AI ●●○○ is how Level rates this data scientist role: an ordinary role that requires AI tools.
The listed pay starts close to the typical data scientist posting on Level.
Tools and skills the posting cites include Python, SQL and Machine Learning Models.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Build economic and machine learning models while leveraging AI tools to automate workflows and scale analytics.

PythonSQLMachine Learning Models

econometricsmachine-learningdata-sciencepredictive-modelingpricing-science

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

ABOUT THIS ROLE
We are seeking a data scientist builder to join the Audible economics team. Our group of economists, data scientists, and analysts tackles a wide range of questions, including pricing, experimentation science, data-driven product strategy/optimizations, internal productivity/incentives, audience science, and impact/ROI measurement. The ideal candidate will enjoy wearing many hats, possess an economist's mindset and a strong ability to effectively translate business questions into tractable quantitative frameworks, and excel at leveraging AI to build and scale robust, interpretable, and production-ready models/systems/tools. We're looking for someone who automates the repetitive, builds tools that force-multiply the team's output/influence, and treats AI as a core part of their workflow - not a side project. If you are passionate about leveraging data to shape the future of digital media, we encourage you to apply and be a part of our dynamic team.

As a Data Scientist, you will...
- Collaborate with economists, analysts, and other data scientists to build and scale econometric/ML models and quantitative tools - owning end-to-end scoping, data pipelining, feature engineering, model development/refinement, production-grade deployment, impact measurement, and adoption
- Research and evaluate emerging tools and techniques (AI-driven and otherwise), and identify novel data sources to leverage in quantitative work – both from within Audible/Amazon and from 3P sources
- Collaborate closely with Product, Content, and Marketing partners to drive broad impact and ensure that solutions are integrated into cross-functional workflows and executive decision-making
- Represent the team in a range of settings - from reviews with senior Amazon scientists to reviews with senior Audible/Amazon business leaders
- Mentor junior scientists and raise the bar for a new generation of scalable, AI-enabled science/analytical work, both within Audible and across the broader Amazon community

ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

Key job responsibilities

Basic qualifications

- Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD
- 2+ years hands-on work experience in an applied/industry setting using Python and SQL to work efficiently at scale with large data sets, constructing empirical analysis, modeling, and compelling data visualizations
- Experience formulating and solving loosely-defined optimization and/or measurement problems
- Familiarity with economic methods/reasoning - causal thinking, incentive design, counterfactual frameworks - and an eagerness to continue to learn new econometric methodologies
- Intellectual curiosity for what drives customer value and business outcomes
- Comfort leading ambiguous projects from zero-to-one

Preferred qualifications

- Fluency in mathematical foundations of statistics, machine learning, and economics
- Experience applying econometric methods at scale (structural modeling, observational causal inference techniques, etc.) to inform pricing/sales optimizations, investment decisions, experimentation science, and/or product optimizations in the digital media space
- Experience with model monitoring, debugging, and long-term maintenance in production environments
- Familiarity with financial/accounting metrics/methods

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.

USA, NJ, Newark - 175,100.00 - 236,900.00 USD annually

How we rate this

Data Scientist at Amazon rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Scientist is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $175k-$237k a year.
The role is based in US, NJ, Newark.
The job was posted on September 28, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

EconometricsMachine learningData SciencePredictive ModelingPricing SciencePythonSQLMachine Learning Models

Also common in data scientist jobs at this level

Spark LLM AWS AI agents Scala Snowflake

Pay

This job starts at: $175k
Typical data scientist job: $168k

This posting starts close to the typical data scientist job. See data scientist jobs

Questions you could be asked

Tell me about a project where econometrics was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where data science was part of your work. What did you do?
Tell me about a project where predictive modeling was part of your work. What did you do?
Tell me about a project where pricing science was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Econometrics, Machine learning, Data Science, Predictive Modeling, and Pricing Science. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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