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Data Scientist I, SAMBA

Audible

$97,500 - $185,000
Oct 1, 2025
Newark, NJ, US
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At Audible, drive innovation in understanding the incremental impact and value of product features and marketing strategies

Requirements

  • 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

Responsibilities

  • 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

Other

  • 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
  • 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
  • If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information
  • Our compensation reflects the cost of labor across several US geographic markets