Amazon-posted 4 months ago
$150,400 - $260,000/Yr
Full-time • Mid Level
Seattle, WA

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. As a Data Scientist on our team, you'll analyze complex data, develop statistical methodologies, and provide critical insights that shape how we optimize our solutions. Working closely with our Applied Science team, you'll help build robust analytical frameworks to improve healthcare outcomes. This role offers a unique opportunity to impact healthcare through data-driven innovation.

  • Analyze complex healthcare data to identify patterns, trends, and insights
  • Develop and validate statistical methodologies
  • Create and maintain analytical frameworks
  • Provide recommendations on data collection strategies
  • Collaborate with Applied Scientists to support model development efforts
  • Design and implement statistical analyses to validate analytical approaches
  • Present findings to stakeholders and contribute to scientific publications
  • Work with cross-functional teams to ensure solutions are built on sound statistical foundations
  • Design and implement causal inference analyses to understand underlying mechanisms
  • Develop frameworks for identifying and validating causal relationships in complex systems
  • Work with stakeholders to translate causal insights into actionable recommendations
  • MS or PhD in Statistics, Biostatistics, Data Science, or related quantitative field
  • 5+ years of experience applying statistical methods to healthcare data
  • Proficiency in Python, R, or similar programming languages for data analysis
  • Experience with statistical modeling and analysis of longitudinal data
  • Strong background in experimental design and hypothesis testing
  • Demonstrated expertise in handling large, complex datasets
  • PhD in Statistics, Biostatistics, Data Science, or related quantitative field
  • Experience analyzing healthcare data
  • Knowledge of healthcare industry regulations and processes
  • Familiarity with healthcare data standards
  • Publication record in relevant scientific journals
  • Experience with distributed computing platforms
  • Strong communication skills and ability to present technical concepts to non-technical audiences
  • Familiarity with healthcare data standards
  • Experience applying causal inference frameworks to real-world problems
  • Familiarity with modern causal discovery and inference techniques
  • Knowledge of counterfactual analysis methods
  • Medical benefits
  • Financial benefits
  • Equity options
  • Sign-on payments
  • Comprehensive employee benefits package
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