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Manager, Data Science
Manager, Data ScienceClover Health • Madison, WI, US
Manager, Data Science

Manager, Data Science

Clover Health • Madison, WI, US
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Manager, Data Science

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care 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. We're looking for a Data Science Manager to help us build a revolutionary healthcare company.

As a Data Science Manager, you will :

  • Manage a business function that delivers significant enterprise value.
  • Develop high-leverage solutions that meet the strategic and operational expectations of the function.
  • Establish a vision and roadmap for the team's work, ensuring alignment with business goals.
  • Keep the team unblocked, effective, and focused on the right priorities.
  • Hire, develop, and retain high-performing talent, fostering a culture of continuous growth.
  • Maximize team members' impact over time, providing mentorship and career development opportunities.
  • Communicate effectively, conveying complex ideas clearly, managing stakeholder expectations, and keeping discussions on track.
  • Foster a team culture of trust, collaboration, and respect.

Success in the role looks like :

  • First 90 Days
  • Gain holistic insight into the Interventions pillar by deeply understanding team dynamics, stakeholder expectations, and establishing actionable strategies to drive and elevate key performance metrics.

  • First 6 Months
  • Develop and implement an effective new hire onboarding strategy.

  • Demonstrate ability to translate team performance into meaningful business outcomes.
  • Beyond 6 Months
  • Establish robust, accurate methods for measuring team success.

  • Continuously optimize team performance and strategic alignment.
  • You should get in touch if :

  • You are a data scientist and a leader, with hands-on experience managing a team of 3+ data scientists or analysts.
  • You hold an advanced degree in a quantitative field (or equivalent experience), with expertise in complex, data-driven problem-solving.
  • You have deep expertise in Data Science, along with strong heuristics for evaluating planned and executed work.
  • You are proficient in the Data Science toolkit, including SQL, Python, computer science fundamentals, and product management principles.
  • You have led projects while also creating opportunities for others to take on leadership roles.
  • You can navigate competing and sometimes conflicting requirements, ensuring clear, consistent, and valuable outcomes.
  • 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 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 offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
  • 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, 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.
  • Professional Development : We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
  • Additional Perks :

  • 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
  • And much more!
  • About Clover : We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

    We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world : healthcare.

    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.

    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.

    A reasonable estimate of the base salary range for this role is $205,000 to $240,000. 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.

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