Senior Data Scientist, Special Projects

Amazon • Seattle, WA

13d

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. About the team 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
• Experience communicating complex ideas to technical and non-technical audiences

Nice To Haves

• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience with distributed systems at scale
• 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

Benefits

• Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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 https://www.aboutamazon.com/workplace/employee-benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees