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Data Scientist I, SAMBA
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Audible At Audible, we believe stories have the power to transform lives. It’s why we work with leading creators to produce and share audio storytelling with our global listeners. We are dreamers and inventors from diverse backgrounds to empower and inspire each other. About This Role
We are looking for Data Scientists to help drive innovation in understanding the incremental impact and value of product features and marketing strategies. You will work with team members to implement test designs and evaluations of new product launches, promotions, and a mix of media campaigns to understand business impact across all sales channels. You will develop advanced scientific solutions and drive customer and business impact, from understanding business requirements to engaging in cutting‑edge research to solve business problems. You will communicate findings clearly to managers and senior leaders and contribute to an agile, growing area at Audible. About The Team
Audible Data Scientists are part of a global, interdisciplinary insights and research team that designs and integrates models to automate decision making across the business. We empower machine learning and deep learning techniques in many areas of the business and translate goals into agile, insightful analytics that create value for stakeholders and customers. Responsibilities
Analyze customer data for segmentation, clustering, acquisition, retention, engagement, and recommendations Perform content evaluation, apply natural language processing, analyze attributes and representations (text, audio, cover art), generate content recommendations, and identify trends Conduct product-related analyses including user click stream analysis, search engine optimization, and product recommendations Evaluate marketing performance across earned, paid, and owned media Basic Qualifications
Currently pursuing a MS/PhD in computer science, statistics, mathematics, operations research, data science, economics, or related field with experimental design and quantitative analysis 1+ years of hands‑on experience with machine learning, predictive modeling, and/or statistical analysis Development experience with Python or equivalent scripting languages Experience in extracting data using SQL Preferred Qualifications
Exposure to software engineering environments (version control, command line) Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud platforms Experience with causal inference methodologies for quasi‑experimental settings (Synthetic Control, Difference‑in‑Difference, Regression Discontinuity, Propensity weighting) Experience in forecasting methodologies Ability to tackle loosely defined problems and deliver elegant, modular, scalable solutions 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 need a workplace accommodation 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on factors including market location and may vary based on job knowledge, skills, and experience. This position may include equity, sign-on payments, and other compensation as part of a total package. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Data Scientist I, SAMBA
role at
Audible At Audible, we believe stories have the power to transform lives. It’s why we work with leading creators to produce and share audio storytelling with our global listeners. We are dreamers and inventors from diverse backgrounds to empower and inspire each other. About This Role
We are looking for Data Scientists to help drive innovation in understanding the incremental impact and value of product features and marketing strategies. You will work with team members to implement test designs and evaluations of new product launches, promotions, and a mix of media campaigns to understand business impact across all sales channels. You will develop advanced scientific solutions and drive customer and business impact, from understanding business requirements to engaging in cutting‑edge research to solve business problems. You will communicate findings clearly to managers and senior leaders and contribute to an agile, growing area at Audible. About The Team
Audible Data Scientists are part of a global, interdisciplinary insights and research team that designs and integrates models to automate decision making across the business. We empower machine learning and deep learning techniques in many areas of the business and translate goals into agile, insightful analytics that create value for stakeholders and customers. Responsibilities
Analyze customer data for segmentation, clustering, acquisition, retention, engagement, and recommendations Perform content evaluation, apply natural language processing, analyze attributes and representations (text, audio, cover art), generate content recommendations, and identify trends Conduct product-related analyses including user click stream analysis, search engine optimization, and product recommendations Evaluate marketing performance across earned, paid, and owned media Basic Qualifications
Currently pursuing a MS/PhD in computer science, statistics, mathematics, operations research, data science, economics, or related field with experimental design and quantitative analysis 1+ years of hands‑on experience with machine learning, predictive modeling, and/or statistical analysis Development experience with Python or equivalent scripting languages Experience in extracting data using SQL Preferred Qualifications
Exposure to software engineering environments (version control, command line) Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud platforms Experience with causal inference methodologies for quasi‑experimental settings (Synthetic Control, Difference‑in‑Difference, Regression Discontinuity, Propensity weighting) Experience in forecasting methodologies Ability to tackle loosely defined problems and deliver elegant, modular, scalable solutions 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 need a workplace accommodation 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on factors including market location and may vary based on job knowledge, skills, and experience. This position may include equity, sign-on payments, and other compensation as part of a total package. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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