Senior Data Scientist

Summary

Join Counterpart Health's Data Science team and help build a revolutionary healthcare company by delivering data-driven solutions that improve patient outcomes. As a Senior Data Scientist, you will lead large-scale projects, apply problem-solving skills, implement scalable solutions, understand business challenges, engage with stakeholders, mitigate risks, serve as a trusted advisor, and mentor team members. Success involves forecasting project impact, leading data-driven product assessments, and implementing strategic improvements. The ideal candidate possesses an advanced degree in a quantitative field, strong foundational knowledge in probability, statistics, and machine learning, proven experience driving enterprise value, project leadership skills, and excellent communication abilities.

Requirements

• You have an advanced degree in a quantitative field (Master’s + 3-4 years of experience or Ph.D. + 2+ years of experience)
• You have a strong foundation in probability, statistics, and machine learning tools, including SQL, Python, and relevant ML/statistical packages
• You have successfully used data science to drive enterprise value in a business function
• You are comfortable leading projects and have experience taking large-scale initiatives from concept to measurable business impact
• You improve the work of those around you through mentorship, code review, and leadership by example
• You can clearly communicate how your work contributes to business goals, ensuring alignment with top-level company objectives

Responsibilities

• Lead large-scale projects from ideation through enterprise impact
• Apply a broad problem-solving toolkit to develop both creative and practical solutions
• Evaluate trade-offs between out-of-the-box and customized solutions, optimizing for speed and effectiveness
• Implement scalable, bug-free, and well-tested solutions that reduce complexity rather than add to it
• Understand business challenges and deliver results that meaningfully solve key problems
• Proactively engage with stakeholders across all levels to align data science efforts with business needs
• Identify and mitigate risks early, preventing roadblocks that could arise later
• Serve as a trusted advisor and thought partner, ensuring projects are delivered on time and aligned with business objectives
• Mentor and collaborate with peers, improving team-wide problem-solving capabilities and technical execution
• By your ability to forecast project impact
• By leading data driven product performance assessment
• Proactive identification and implementation of strategic improvements with data driven strategies
• By leading toward improved team outcomes

Benefits

• Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities
• Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions
• We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits
• We understand the importance of mental health in fostering productivity and maintaining work-life balance
• To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy
• Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location
• We are committed to developing our talent professionally
• We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Flexibility to work from home, enabling collaboration with global teams
• Paid parental leave for all new parents