Senior Data Scientist, Healthcare

Lucet

Senior Data Scientist at Lucet developing strategic solutions from complex data in behavioral health. Leading data-driven projects and collaborating with cross-functional teams to improve health outcomes.

Posted 7/23/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $125,000 - $135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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 Science7+ Years Experience As A Data Scientist5+ Years In R Or PythonIn-Depth Understanding Of SQLCompetent In Machine Learning Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical MethodsPsychometric RigorData CleaningQuantitative AnalysisBehavioral Health AssessmentsModel ValidationData-Centered Project ManagementMachine Learning TechniquesAnalytic Workflows

Soft Skills

Communication SkillsTeamworkLeadershipProblem-SolvingPresentation Skills

Industry Keywords

Data ScienceEthical StandardsBusiness InsightsClinical InsightsStakeholder Engagement

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Comprehensive health benefit options: Medical, dental, and vision coverage
401(k) with competitive employer match
Company-paid life and disability insurance
Paid parental leave and wellbeing incentives
Generous paid time off, including volunteer time
Flexible spending accounts for healthcare and dependent care
Professional development opportunities and tuition reimbursement
Remote work flexibility (role-dependent)