About Stellar Health:
Historically, US Healthcare has relied on a fee-for-service reimbursement system where providers are paid based on the quantity of patient visits and procedures, rather than the quality of health outcomes.
At Stellar Health, we help primary care providers put patient health first. Our platform - a mix of technology, people, and analytics - supports providers at the point of care, delivering real-time patient information, activating practice staff, and empowering providers and care teams with incentives that reward the work they are already doing to keep patients healthy. Using the Stellar App, our web-based, point-of-care tool; practices receive a simple checklist of recommended actions that support the best quality care. Providers and care teams are then paid monthly for each action they complete, and Payors save money in reduced healthcare costs along the way.
Stellar is a US-based Health-tech backed by Top VCs (General Atlantic, Point72, & Primary Venture Partners) with an established product & proven operating model. We’ve shown that we make a real difference for physician practices and their patients.
About the position:
We are seeking a dynamic Data Scientist to join our team and play a pivotal role in shaping our business strategy through data-driven insights. This position focuses on taking a broad view of our application and business landscape, where you will develop predictive models, conduct in-depth analyses to uncover correlations and causal relationships, and translate complex findings into actionable recommendations for stakeholders including our leadership team, marketing, sales, operations, and finance.
You will work closely with these business leaders, our Product Data Scientist, our data analysts, and analytics engineering team to understand business performance, predict future trends, and unlock new opportunities for growth and efficiency.
What you’ll do:
Conduct In-Depth Business Analyses: Perform rigorous correlation and causation analyses, potentially using econometric modeling or other advanced statistical techniques, to understand the drivers of business performance, identify growth opportunities, and flag potential risks across our application and the broader business landscape.
Develop and Implement Predictive Models: Design, build, and deploy predictive models to forecast key business metrics (e.g., customer churn, lifetime value, sales, demand) and inform strategic decision-making across operations, marketing, and sales.
Translate Data into Actionable Insights: Convert complex analytical findings, often stemming from ad-hoc deep-dive investigations into critical business problems and hidden opportunities, into clear, compelling, and actionable insights; present these findings to business stakeholders, including our leadership team, and various departments to drive strategy and operational improvements.
Communicate and Visualize Findings: Master data storytelling by effectively communicating analytical results and insights to both technical and non-technical audiences through dashboards, presentations, and written reports.
Collaborate on Data Strategy & Infrastructure: Partner with the Product Data Scientist, analysts, and the analytics engineering team to contribute to our shared data assets, shape the data science technology stack, and guide decisions on analytical tools, data governance, and quality.
Drive a Culture of Knowledge Sharing: Actively share insights, methodologies, and findings with the Product Data Scientist and other relevant teams to foster a collaborative environment, prevent duplicated efforts, and maximize the impact of our data.
As Lead Data Scientist you should have:
A Master’s degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.
Extensive experience (typically 8-10+ years) as a Data Scientist delivering impactful business insights and predictive models, including demonstrated experience in a senior or lead capacity guiding complex projects and mentoring team members.
Deep expertise in statistical analysis, causal inference techniques, predictive modeling (e.g., regression, classification, time series forecasting), and machine learning techniques, with strong proficiency in Python (preferred) or R (including libraries like scikit-learn, Pandas) and SQL.
Significant experience working with healthcare claims data and a strong understanding of medical economics (or specific programs like Medicaid, if applicable).
Exceptional ability to translate complex business problems into analytical frameworks and convert sophisticated findings into clear, actionable strategic recommendations. This includes mastery of data storytelling and presentation skills to effectively communicate insights (leveraging data visualization best practices and tools) to diverse audiences, from senior leadership to non-technical stakeholders.
A strategic mindset with proven experience collaborating effectively with cross-functional teams (e.g., product, engineering, analysts, marketing, sales, operations) to understand broad business objectives, identify high-impact data science opportunities, and contribute to the overall data and analytics roadmap.
Experience or a strong understanding of MLOps principles and the lifecycle of deploying and maintaining models in production environments is a plus.
Who will love this job:
You'll love this job if you are passionate about tackling complex challenges, seeing your work directly influence leadership decisions, and actively contributing to the growth of impactful analytical capabilities and data strategy.
Pay:
We are considering candidates with differing levels of expertise for this position. Leveling and placement within the band will be based upon your relevant experience and performance in the interview process. Stellar's bands are designed to allow for individual compensation growth within the role. As such, new hires typically start at the lower end of the range. Stellar rewards performance and outcomes - should you join the company, you will have the opportunity to grow your salary over time.
The salary range for the Lead Data Scientist is $190,000 - $220,000 and will be eligible for an annual performance based bonus and equity grant
Stellar reserves the right to change our compensation bands at any time.
Perks & Benefits:
Stellar offers a carefully curated selection of wellness benefits and perks to our employees:
Diversity is the key to our success. Stellar Health is an equal opportunity employer and we are open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, veteran status, or any other legally protected status.
We believe that diverse teams -and the different identities, cultures, and life experiences our team members bring to the table- enable us to create amazing products, find creative solutions to interesting problems, and build an inclusive working environment.
Stellar Health Employment Privacy Notice
At Stellar Health, your privacy and security as a job seeker is a priority no matter where you are in the interview process. As recruiting scams have become more prevalent, please take note of the following practices to ensure the legitimacy of any interaction with our team.
If you are ever unsure whether you are in contact with a legitimate Stellar Health teammate, please contact people-team@stellar.health. If you believe you've been a victim of a phishing attack, please mark the communication as “spam” and immediately report it by contacting the U.S. Federal Trade Commission.
Yearly based
Remote or NYC Hybrid
