Data Scientist I, SAMBA

Overview

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 currently looking for Data Scientists to help drive innovation in understanding the incremental impact and value of product features and marketing strategies. You will be expected to work closely with our team members to implement test designs and evaluations of new product launches, promotions, and a mix of media campaigns to understand the business impact across all sales channels.

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 impacts. 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 cutting-edge 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 cutting-edge machine learning and deep learning techniques in the 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...

• Analyze customer data for segmentation, clustering, acquisition, retention, engagement, and recommendations
• Perform content evaluation, apply natural language processing, analyze attributes and representations (in 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 evaluation

Basic Qualifications

• Currently pursuing a MS/PhD in computer science, statistics, mathematics, operations research, data science, economics, or another discipline involving experimental design and quantitative analysis of experimental data
• 1+ years of hands-on experience with machine learning, predictive modeling, and/or statistical analysis techniques
• 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 very loosely defined problems and consistently deliver elegant, modular and scalable solutions in a timely manner

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 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 a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.