Senior Data Scientist
Clover Health is hiring a Senior Data Scientist for a remote role open to applicants in United States. It pays $177k-$230k a year and Level rates it ; you can apply on Clover Health.
Level's read on this job
- Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
- Pay on this posting starts 6% higher than the typical data scientist posting on Level.
- This is listed as a remote role.
- The posting mentions Python, SQL and machine learning among its tools and skills.
- Clover Health has 58 other open roles on Level.
AI in this role
Build machine learning models and data products that assist physicians in treating conditions and improve patient outcomes.
At Counterpart Health, we are transforming healthcare and improving patient care with our innovative tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.
The Data Science team is responsible for leveraging our most valuable asset—our data—to generate meaningful value for our members. From building models that assist physicians in treating conditions to identifying members in need of specialized care, Data Science at Clover develops data products and insights that are central to our mission and differentiation as a company.
Our impact is tremendous—as a Senior Data Scientist, you’ll help build a revolutionary healthcare company by delivering data-driven solutions that directly improve patient outcomes.
As a Senior Data Scientist you will:
- 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.
Success in this role looks like:
- 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 should get in touch if:
- 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.
Benefits Overview:
- 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.
Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
#LI-REMOTE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.
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 USDHow we rate this
Senior Data Scientist at Clover Health rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- This job starts at
- $177k
- Typical data scientist job
- $166k
This posting starts 6% above the typical data scientist job. See data scientist jobs
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where statistics was part of your work. What did you do?
- Tell me about a project where probability was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Machine learning, Statistics, Probability, Data Science, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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