Amazon.com Services LLC

Healthcare

SeniorDataScientist,SpecialProjects

$159–215k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Healthcare
Problems you'll solve

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

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