Senior Data Scientist, Special Projects

Amazon.com, Inc.•Seattle, WA

31d

About The Position

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. We represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.

Requirements

Knowledge of statistical software such as R, Python
Experience with handling of large datasets
MS or PhD in Statistics, Biostatistics, Data Science, or related quantitative field
5+ years of experience applying statistical methods to healthcare data
Experience with statistical modeling and analysis of longitudinal data
Advance in experimental design and hypothesis testing

Nice To Haves

Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience with distributed systems at scale
Experience communicating complex ideas to technical and non-technical audiences
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
Experience applying causal inference frameworks to real-world problems
Familiarity with modern causal discovery and inference techniques
Knowledge of counterfactual analysis methods

Responsibilities

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