
501 - 1000 employees
âïž Healthcare Insurance
âïž SaaS
đ€ B2B
Healthcare Insurance âą SaaS âą B2B
Lucet is a tech-enabled behavioral health company that combines human care teams and digital tools to connect individuals to timely, in-network mental health and substance-use care. It partners with health plans, employers, providers, and members through portals (employer/HR, member, provider, partner) and services such as EAP, care navigation, and provider resources to optimize access, quality, and value-driven behavioral healthcare.
đ„ 16 hours ago
đșđž United States â Remote
đ” $125k - $135k / year
â° Full Time
đ Senior
đ Data Scientist
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501 - 1000 employees
âïž Healthcare Insurance
âïž SaaS
đ€ B2B
Healthcare Insurance âą SaaS âą B2B
Lucet is a tech-enabled behavioral health company that combines human care teams and digital tools to connect individuals to timely, in-network mental health and substance-use care. It partners with health plans, employers, providers, and members through portals (employer/HR, member, provider, partner) and services such as EAP, care navigation, and provider resources to optimize access, quality, and value-driven behavioral healthcare.
âą Creating strategic solutions from large amounts of data collected from various sources. âą Organizing and analyzing the data, then interpreting the data and communicating the results to Lucet stakeholders. âą Perform quantitative analyses, design behavioral health assessments, and apply advanced statistical methods to generate actionable insights. âą Ensure psychometric rigor (reliability, validity, predictive value) and validate models for generalizability and meaningful outcomes. âą Partner with cross-functional teams and external collaborators to design research, gather requirements, and translate findings into business and clinical insights. âą Deliver presentations and produce clear, non-technical reports to communicate results, limitations, and strategic recommendations. âą Lead and manage data-driven projects, including data cleaning, task delegation, and oversight of analytic workflows. âą Identify opportunities to leverage insights for business impact while staying current on data science advancements.
âą Advanced degree in data science, statistics, computer science, or similar. âą 7+ years experience as a data scientist. âą 5 + year in R or Python, where the former is preferred. âą 5+ years In-depth understanding of SQL. âą Competent in machine learning principles and techniques. âą Demonstrable history of devising and overseeing data-centered projects. âą Ability to relay insights in layman's terms, such that these can be used to inform business decisions. âą Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork. âą Compliance with prevailing ethical standards. âą Ability to pass background check upon hire and throughout employment.
âą Comprehensive health benefit options: Medical, dental, and vision coverage âą 401(k) with competitive employer match âą Company-paid life and disability insurance âą Paid parental leave and wellbeing incentives âą Generous paid time off, including volunteer time âą Flexible spending accounts for healthcare and dependent care âą Professional development opportunities and tuition reimbursement âą Remote work flexibility (role-dependent)
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