Senior Data Scientist, Healthcare

Das ist der Job

Proven ability to communicate complex insights clearly to stakeholders and lead data-driven projects effectively.

Darum lohnt es sich

• 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.

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 Expertise in data analysis and statistical methods, with a strong focus on psychometric rigor and machine learning principles.