Senior Data Scientist (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

155000.0

Posted On

08 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Healthcare Analytics, Predictive Modeling, Causal Inference, Statistical Analysis, Optimization Methods, Python, PySpark, Scala, Spark SQL, Data Visualization, EMR Data, Claims Data, Social Determinants Of Health, Machine Learning, Mentoring

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist in United States. 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. 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. 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! #LI-CL1

Responsibilities

Lead strategic data science initiatives that inform product development, clinical decisions, and business outcomes. Conduct in-depth analyses using advanced statistical and machine learning methods to drive insights and ROI.