Data Scientist
Audible
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This role on the market
2,031 open scientist roles across 269 companies are on ApplySarthi right now, most of them in Bengaluru (133), Hyderabad (72), Delhi NCR (32).
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What scientist roles keep asking for: Python (49%), Machine learning (37%), SQL (23%), C++ (18%), Java (17%), Deep learning (14%), R (14%), LLMs (13%) — counted across their open postings here.
Data Scientist jobs in the United States · Remote Data Scientist jobs · Accounting jobs · Machine learning jobs · Python jobs · SQL jobs
Audible has 55 open roles listed here.
- Software Development Engineer, Consumer Domains
- Data Scientist
- Associate Director, Publisher Relations DE
- Software Development Engineer
- Lead Software Development Engineer, Playback Team
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Audible.
Questions you are likely to be asked
- Why do you want to join Audible?
- What is your experience with Accounting? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the Data Scientist at Audible interview free →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. 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: - 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
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Listed on amazon · posted 2026-09-28. ApplySarthi collects openings and links to application pages; the role is advertised by Audible, not by us.