Senior Data Scientist, Special Projects

Description 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. Key job responsibilities In this role, you will:

• 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 A day in the life You'll work with large-scale healthcare datasets, conducting sophisticated statistical analyses to generate actionable insights.

You'll collaborate with Applied Scientists to validate model predictions and ensure statistical rigor in our approach. Regular interaction with product teams will help translate analytical findings into practical improvements for our services. 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. Basic Qualifications

• 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 Preferred Qualifications
• 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle

• 159,200.00
• 215,300.

00 USD annually