About this role
The data science team at Counterpart Health builds Counterpart Assistant, an AI-enabled clinical tool designed to assist primary care physicians with early diagnosis and longitudinal chronic condition management. Professionals in this senior role will lead large-scale data science projects from ideation to enterprise impact, developing both out-of-the-box and customized machine learning solutions that directly improve patient outcomes. Daily work involves evaluating trade-offs for speed and effectiveness, communicating with stakeholders across all levels, and mentoring peers to enhance technical execution.
Created to generate meaningful value from company data, the position requires someone who can navigate complex business challenges and deliver reliable results without adding technical debt. Ideal candidates bring a strong quantitative background combined with proven experience taking major data initiatives from concept to deployment. Individuals who thrive here are proactive risk mitigators and trusted thought partners capable of aligning technical strategies directly with overarching corporate goals.
What you will do
- Lead large-scale data science projects from initial ideation through enterprise-wide impact.
- Evaluate trade-offs between standard and customized solutions to optimize implementation speed and effectiveness.
- Implement scalable, bug-free, and well-tested solutions that reduce technical complexity.
- Engage proactively with cross-functional stakeholders to align data efforts with business needs.
- Identify and mitigate project risks early to prevent roadblocks and ensure timely delivery.
- Serve as a trusted advisor and thought partner while mentoring peers to improve team problem-solving.
What you need
- Hold an advanced degree in a quantitative field such as a Master’s degree with three to four years of experience or a Ph.D. with two or more years of experience.
- Demonstrate a strong foundation in probability, statistics, and machine learning tools.
- Possess practical proficiency in SQL, Python, and relevant machine learning or statistical packages.
- Show a proven track record of using data science to drive enterprise value within a business function.
- Bring previous experience leading large-scale initiatives from concept to measurable business impact.
- Communicate effectively to explain how technical contributions align with top-level company objectives.
Benefits
- Competitive base salary and equity opportunities
- Performance-based bonus program and 401k matching
- Comprehensive medical, dental, and vision coverage
- Flexible time-off policy alongside No-Meeting Fridays and monthly company holidays
- Employee Stock Purchase Plan offering discounted equity opportunities
- Reimbursement for office setup expenses as well as monthly cell phone and internet stipends
Skills and tech stack
Questions candidates ask
What is the remote work policy?
The position operates within a remote-first culture that supports collaboration and flexibility, allowing team members to thrive from any location.
What is the compensation range for this role?
A reasonable estimate of the base salary range is between $176,900 and $230,000 USD, supplemented by equity opportunities, a performance-based bonus program, and 401k matching.
What tools and languages will I use?
The work requires a strong foundation in probability, statistics, and machine learning tools, including Python, SQL, and relevant machine learning or statistical packages.
What will I focus on during the first 90 days?
Success in the initial period is measured by your ability to forecast project impact and lead data-driven product performance assessments.
The application is on the official Counterpart Health careers page.
Apply on company site