Senior Data Scientist

• 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.

• First 90 Days:
• By your ability to forecast project impact.
• By leading data driven product performance assessment.
• Beyond 90 Days:
• Proactive identification and implementation of strategic improvements with data driven strategies.
• By leading toward improved team outcomes.

• 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.

• Financial Well-Being: 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, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: 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, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.

Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.

With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.

Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

A reasonable estimate of the base salary range for this role is:

$176,900—$230,000 USD