Data Scientist, SAMBA
Audible
Data Science
Newark, NJ, USA
Posted on Mar 18, 2026
Data Scientist, SAMBA
Global Insights & Data Science | Job ID 3206729Job Summary
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 to own our causal inference infrastructure and drive sophisticated modeling that measures the incremental impact of business decisions. This role requires deep expertise in advanced causal inference methodologies—including synthetic control methods, Synthetic Difference-in-Differences (SDID), and Bayesian approaches—to design rigorous experiments, estimate long-term customer behavior effects, and translate complex analytical results into clear business recommendations. You will own the development and continuous improvement of these causal inference models while being responsible for machine learning operations at scale to ensure our organization makes data-driven decisions with confidence.
At Audible, you will have an opportunity to make the best of your skillsets to both develop advanced scientific solutions and drive critical customer and business impact. You will play a key role to drive end-to-end solutions from understanding our business and business requirements, identifying opportunities from a large amount of historical data and engaging in research to solve the business problems. You'll seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders. You will be at the heart of an agile and growing area at Audible.
ABOUT THE TEAM
Audible Data Scientists are members of a global interdisciplinary insights and research team with an integral role in the design and integration of models to automate decision making throughout the business in every country. We empower the machine learning and deep learning techniques in many areas of the business.
We translate business goals into agile, insightful analytics and seek to create value for both stakeholders and customers and convey findings in a clear, actionable way to managers and senior leaders.
As a Data Scientist, you will...
- Design and execute geo-level randomized experiments to measure incremental impact
- Apply statistical techniques to evaluate causal impact in quasi-experimental settings
- Ensure experiments are statistically valid by evaluating sampling strategies, statistical power, and potential sources of bias
- Develop models that estimate long-term effects from short-term experiments using machine learning
- Estimate how changes in customer behavior persist and decay over time
- Own and maintain the geo-testing codebase, including deployment and scalability
- Implement machine learning models at scale with focus on performance optimization
- Partner with stakeholders to ensure models align with real business dynamics
- Engage deeply with business problems through curiosity-driven questioning and brainstorming
- Translate experimental results into financial impact and investment recommendations
- Analyze marginal and average revenue impacts relative to costs
- Communicate complex quantitative ideas clearly to non-technical stakeholders
- Demonstrate understanding of Audible's business model and customer experience
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.
ABOUT THIS ROLE
We are seeking a Data Scientist to own our causal inference infrastructure and drive sophisticated modeling that measures the incremental impact of business decisions. This role requires deep expertise in advanced causal inference methodologies—including synthetic control methods, Synthetic Difference-in-Differences (SDID), and Bayesian approaches—to design rigorous experiments, estimate long-term customer behavior effects, and translate complex analytical results into clear business recommendations. You will own the development and continuous improvement of these causal inference models while being responsible for machine learning operations at scale to ensure our organization makes data-driven decisions with confidence.
At Audible, you will have an opportunity to make the best of your skillsets to both develop advanced scientific solutions and drive critical customer and business impact. You will play a key role to drive end-to-end solutions from understanding our business and business requirements, identifying opportunities from a large amount of historical data and engaging in research to solve the business problems. You'll seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders. You will be at the heart of an agile and growing area at Audible.
ABOUT THE TEAM
Audible Data Scientists are members of a global interdisciplinary insights and research team with an integral role in the design and integration of models to automate decision making throughout the business in every country. We empower the machine learning and deep learning techniques in many areas of the business.
We translate business goals into agile, insightful analytics and seek to create value for both stakeholders and customers and convey findings in a clear, actionable way to managers and senior leaders.
As a Data Scientist, you will...
- Design and execute geo-level randomized experiments to measure incremental impact
- Apply statistical techniques to evaluate causal impact in quasi-experimental settings
- Ensure experiments are statistically valid by evaluating sampling strategies, statistical power, and potential sources of bias
- Develop models that estimate long-term effects from short-term experiments using machine learning
- Estimate how changes in customer behavior persist and decay over time
- Own and maintain the geo-testing codebase, including deployment and scalability
- Implement machine learning models at scale with focus on performance optimization
- Partner with stakeholders to ensure models align with real business dynamics
- Engage deeply with business problems through curiosity-driven questioning and brainstorming
- Translate experimental results into financial impact and investment recommendations
- Analyze marginal and average revenue impacts relative to costs
- Communicate complex quantitative ideas clearly to non-technical stakeholders
- Demonstrate understanding of Audible's business model and customer experience
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.
Basic Qualifications
- 2+ years of building machine learning models or developing algorithms for business application experience
- Experience in experimental design, causal inference, and statistical analysis
- Experience with statistical power analysis, sampling design, and bias/variance tradeoffs
- Experience contributing to scalable, production-quality code
- Master's degree in Statistics, Economics, Mathematics, or related quantitative field
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. Python, R, Stata, Matlab, etc.)
- Experience in experimental design, causal inference, and statistical analysis
- Experience with statistical power analysis, sampling design, and bias/variance tradeoffs
- Experience contributing to scalable, production-quality code
- Master's degree in Statistics, Economics, Mathematics, or related quantitative field
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. Python, R, Stata, Matlab, etc.)
Preferred Qualifications
- Ph.D. in Statistics, Economics, or related quantitative field with strong technical implementation focus
- Experience contributing to end-to-end technical infrastructure for experimentation or modeling systems
- Deep understanding of causal inference methodologies and challenges
- Familiarity with modeling techniques used to estimate long-term effects from short-term data
- Track record of translating complex statistical models into production systems
- Problem-solving mentality with demonstrated curiosity and ability to ask clarifying questions
- Experience in consumer technology or subscription-based business models
- Ability to balance sophisticated modeling discussions with hands-on technical implementation
- Experience with containerization technologies and cloud infrastructure (AWS preferred)
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.
USA, NJ, Newark - 153,400.00 - 207,500.00 USD annually
- Experience contributing to end-to-end technical infrastructure for experimentation or modeling systems
- Deep understanding of causal inference methodologies and challenges
- Familiarity with modeling techniques used to estimate long-term effects from short-term data
- Track record of translating complex statistical models into production systems
- Problem-solving mentality with demonstrated curiosity and ability to ask clarifying questions
- Experience in consumer technology or subscription-based business models
- Ability to balance sophisticated modeling discussions with hands-on technical implementation
- Experience with containerization technologies and cloud infrastructure (AWS preferred)
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 - 153,400.00 - 207,500.00 USD annually