Senior Data Scientist, Healthcare

• Creating strategic solutions from large amounts of data collected from various sources.

• Organizing and analyzing the data, then interpreting the data and communicating the results to Lucet stakeholders.

• Perform quantitative analyses, design behavioral health assessments, and apply advanced statistical methods to generate actionable insights.

• Ensure psychometric rigor (reliability, validity, predictive value) and validate models for generalizability and meaningful outcomes.

• Partner with cross-functional teams and external collaborators to design research, gather requirements, and translate findings into business and clinical insights.

• Deliver presentations and produce clear, non-technical reports to communicate results, limitations, and strategic recommendations.

• Lead and manage data-driven projects, including data cleaning, task delegation, and oversight of analytic workflows.

• Identify opportunities to leverage insights for business impact while staying current on data science advancements.

Requirements

• Advanced degree in data science, statistics, computer science, or similar.

• 7+ years experience as a data scientist.

• 5 + year in R or Python, where the former is preferred.

• 5+ years In-depth understanding of SQL.

• Competent in machine learning principles and techniques.

• Demonstrable history of devising and overseeing data-centered projects.

• Ability to relay insights in layman's terms, such that these can be used to inform business decisions.

• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.

• Compliance with prevailing ethical standards.

• Ability to pass background check upon hire and throughout employment.

Expertise in data analysis and statistical methods, with a strong focus on psychometric rigor and machine learning principles. Proven ability to communicate complex insights clearly to stakeholders and lead data-driven projects effectively.

Highest-signal resume keywords

• Advanced Degree In Data Science

• 7+ Years Experience As A Data Scientist

• 5+ Years In R Or Python

• In-Depth Understanding Of SQL

• Competent In Machine Learning Principles

Hard Skills

• Data Analysis

• Statistical Methods

• Psychometric Rigor

• Data Cleaning

• Quantitative Analysis

• Behavioral Health Assessments

• Model Validation

• Data-Centered Project Management

• Machine Learning Techniques

• Analytic Workflows

Soft Skills

• Communication Skills

• Teamwork

• Leadership

• Problem-Solving

• Presentation Skills

Industry Keywords

• Data Science

• Ethical Standards

• Business Insights

• Clinical Insights

• Stakeholder Engagement