Amazon.com Services LLC
Healthcare
SeniorDataScientist,SpecialProjects
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist, Special Projects at Amazon.com Services LLC. Skills: Data Science, Statistical Analysis, Healthcare Data, Causal Inference. Analyze complex healthcare data. Identify patterns”
What You'll Achieve.
Improve healthcare outcomes
Industry & Context.
Identify patterns; Identify trends; Identify insights; Understand underlying mechanisms
What They're Looking For.
Must Have
5+ years data querying languages, 5+ years scripting languages, 5+ years statistical software, 4+ years data scientist experience, Experience with statistical models, MS or PhD in Statistics, MS or PhD in Biostatistics, MS or PhD in Data Science, MS or PhD in quantitative field, 5+ years applying statistical methods, 5+ years healthcare data experience, Experience with statistical modeling, Experience with analysis of longitudinal data, Advance in experimental design, Advance in hypothesis testing
Nice to Have
2+ years data visualization experience, Experience managing data pipelines, Experience as a leader, Experience as a mentor, PhD in Statistics, PhD in Biostatistics, PhD in Data Science, PhD in quantitative field, Experience analyzing healthcare data, Knowledge of healthcare industry regulations, Knowledge of healthcare industry processes, Familiarity with healthcare data standards, Experience applying causal inference frameworks, Familiarity with modern causal discovery, Familiarity with modern causal inference techniques, Knowledge of counterfactual analysis methods
What You'll Do.
Analyze complex healthcare data
Develop statistical methodologies
Validate statistical methodologies
Create analytical frameworks
Maintain analytical frameworks
Provide recommendations on data collection
Collaborate with Applied Scientists
Support model development efforts
Design statistical analyses
Implement statistical analyses
Validate analytical approaches
Present findings to stakeholders
Contribute to scientific publications
Work with cross-functional teams
Ensure solutions are built on sound statistical foundations
Design causal inference analyses
Implement causal inference analyses
Understand underlying mechanisms
Develop frameworks for identifying causal relationships
Develop frameworks for validating causal relationships
Translate causal insights into actionable recommendations
Conduct sophisticated statistical analyses
Generate actionable insights
Validate model predictions
Ensure statistical rigor
Translate analytical findings into practical improvements
How You'll Work.
Team & Collaboration
Applied Science team; Cross-functional teams; Product teams
Communication Scope
Present findings; Scientific publications
Full Job 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
Applying for this Senior Data Scientist, Special Projects role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon.com Services LLC?
Real rants from real employees. Read before you apply.