Data Scientist I, SAMBA
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Job Location:
Newark, DE - USA
Yearly Salary:
$ 97500 - 185000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
At Audible we believe stories have the power to transform lives. Its why we work with some of the worlds 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. Youll 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
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.
- 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
- 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 youre applying in isnt 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 $97500/year in our lowest geographic market up to $185000/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.
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. Youll 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
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.
- 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
- 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 youre applying in isnt 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 $97500/year in our lowest geographic market up to $185000/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.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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