This role provides an exciting opportunity to leverage data science to drive impactful decisions across product, clinical, and business domains. You will work with diverse datasets, including healthcare claims, EHR, and operational data, to uncover insights that directly influence product strategy and business outcomes. Collaborating with cross-functional teams, you will lead complex analyses, design predictive and optimization models, and mentor junior team members. Your work will help shape clinical and operational strategies while promoting a data-driven culture. The position offers autonomy, growth opportunities, and a collaborative environment where innovative approaches are highly valued.

Accountabilities:

Lead strategic data science initiatives that inform product development, clinical decisions, and business outcomes
Manage data science milestones, gather requirements, and identify opportunities or risks across multiple data sources
Conduct in-depth analyses using advanced statistical and machine learning methods to drive insights and ROI
Design and implement causal inference studies, predictive models, and optimization frameworks using healthcare and operational datasets
Present findings through compelling visualizations and translate results into actionable recommendations for business and clinical stakeholders
Mentor junior data scientists, conduct code reviews, and support best practices in modeling, analytics, and communication
Explore and implement cutting-edge technologies, including LLMs and stochastic optimization, to improve decision-making efficiency

Requirements

5+ years of hands-on data science experience in healthcare analytics, population health, or related fields where health outcomes are critical
Demonstrated leadership in data science projects with measurable impact on product strategy or business outcomes
Strong ability to translate stakeholder needs into technical requirements and communicate data-driven insights to non-technical audiences
Expertise in predictive modeling, causal inference, statistical analysis, and optimization methods
Proficiency in Python, PySpark, Scala, and/or Spark SQL; experience with graph databases is a plus
Experience working with EMR, claims, and social determinants of health (SDOH) data
Familiarity with data visualization tools such as Tableau or Kibana
MSc or higher in Data Science, Statistics, Mathematics, Engineering, or related discipline
Experience with LLM prompt engineering and context optimization is preferred

Benefits

Fully remote position with minimal travel (approximately 5%)
Comprehensive medical, dental, vision, life, and disability insurance, plus Employee Assistance Program
401(k) plan with company match, flexible spending, and health savings accounts
Up to 184 hours (23 days) of paid time off annually plus company holidays
Up to 14 weeks of paid parental leave
Pet insurance coverage
Annual salary range: $125,000 - $155,000, included as part of a total benefits package with health insurance, 401(k), and potential bonuses

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!