Senior Data Scientist, Special Projects

Amazon • Seattle, WA

3d • Onsite

About The Position

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.

Requirements

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• 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

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team
• 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

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior