Role Description We are seeking a Senior Data Scientist who combines strong expertise in statistical analysis and applied machine learning with practical experience in production-oriented workflows. This role is not just about building models in isolation—you will partner closely with Senior Machine Learning Engineers to ensure models are production-ready, monitored, and continuously improved. You’ll focus on generating insights, developing models, and proactively collaborating in monitoring deployed algorithms. Beyond the technical, you’ll help identify opportunities for model-driven enhancements and business and customer recommendations based on real-world performance. Key Responsibilities - Statistical & ML Modeling - Develop, validate, and tune statistical and machine learning models that solve complex business problems. - Partner with engineers to ensure models are designed with production deployment in mind. - Design experiments and evaluate models using robust statistical methodologies. - Build and maintain dashboards that proactively monitor product efficacy and distribute key insights across product and customer domains. - Production Awareness & Monitoring - Collaborate with ML engineers on deployment pipelines, APIs, and infrastructure. - Proactively monitor deployed models for drift, accuracy, and reliability. - Provide insights and business recommendations based on model performance in production. - Recommend retraining or refinement strategies in response to performance changes. - Business Impact & Strategy - Translate model results into actionable recommendations for both product and business teams. - Identify opportunities for model improvements that drive up-sell, revenue growth, and cost reduction. - Communicate results clearly to both technical and non-technical stakeholders. - Collaboration & Leadership - Work side-by-side with Senior Machine Learning Engineers to ensure smooth handoff from research to deployment. - Mentor team in best practices for applied ML and production readiness. - Contribute to evolving data science standards and playbooks that prioritize operational impact. Qualifications - 5+ years of experience applying machine learning and statistics to business problems. - Master’s or PhD in Statistics, Computer Science, Data Science, or related field (or equivalent experience). - Prior exposure to production ML environments and workflows. Technical Skills - Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow). - Strong background in statistical methods (supervised/unsupervised learning, classification models, etc.), experimental design, and data visualization (Looker) and storytelling. - Strong proficiency in SQL (Snowflake) with an ability to work with raw data and collaborate with data engineering teams to optimize data pipelines. - Proficiency with cloud platforms (AWS). - Solid understanding of APIs, model deployment processes, and monitoring practices. - Familiarity with other programming languages such as R, Java, and Go. Soft Skills - Excellent communication skills with ability to bridge technical and business contexts. - Strong problem-solving and proactive ownership mindset. - Comfort working in cross-functional teams with engineers, product managers, and business leaders. - Ability to balance quick iterations with building long-term scalable solutions. Benefits - Competitive compensation and benefits. - A high-impact environment and data-driven culture where your models make it into production and drive measurable business outcomes. - Opportunities to shape both data science practices and production ML systems. - Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan. - Modern Health for financial, mental, and physical wellness. - 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices). - Unlimited Vacation and Flexible hours. - Comprehensive medical benefits for you and your family ❤️. - Emotional & Physical Wellness – Access to wellness services (EAP & Prove Well-Being Reimbursement). - Bottomless snacks & beverages for certain office locations. - Daily GrubHub stipend for lunch if coming into the office (US Offices). - A great place to work and connect with other talented Provers like yourself!

• Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure • Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches • Design and maintain feature engineering pipelines for model development • Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain • Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies • Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams

Senior Actuarial Scientist New York (Hybrid) Our mission: to eliminate every barrier to mental health. At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. Spring Health is seeking a Senior Actuarial Scientist to join our Customer Value team. Reporting to the Associate Director of Actuarial Analytics, you will own the development of ROI models that quantify cost savings and downstream impact for our employer and payer populations. Please note that this is a hybrid role based in New York City, with an expectation to be in the office 2–3 days per week at our 60 Madison Avenue location. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites. What you’ll do - Build and maintain actuarial ROI models to quantify cost savings, utilization changes, and downstream impact across employer and payer populations - Present ROI findings directly to prospects and clients, distilling complex technical concepts into compelling, executive-ready storytelling - Develop strong partnerships with revenue, product, finance, and data science teams to align on core assumptions - Support emerging product evaluations by refining methodologies and validating financial assumptions - Contribute actuarial expertise to product prototyping and development to help shape scalable financial frameworks - Build custom savings and cost models using Excel and other spreadsheet applications - Query databases using SQL to extract and analyze data to inform model assumptions - Communicate the impact of custom configurations on price and margin to internal stakeholders - Leverage AI tools to enhance the speed and quality of results delivered to our customers - Collaborate cross-functionally to ensure actuarial rigor is applied to all external-facing financial metrics What success looks like in this role - Develop a deep understanding of how Spring Health delivers value to customers, specifically through health plan integration - Clearly communicate analytical concepts and financial results to both technical and non-technical audiences, including customers and internal leadership - Successfully partner with cross-functional teams to launch ROI measurement frameworks for new products - Stay current on ROI methodologies and macroeconomic trends impacting medical insurance to ensure our models remain industry-leading What you’ll bring - Associate or Fellow of the Society of Actuaries (ASA or FSA) designation - 5+ years of experience in financial or actuarial analysis - Hands-on experience working with medical claims data, including ICD-10 and CPT codes - Advanced proficiency in Excel and experience writing SQL queries to retrieve data - Ability to work independently and align priorities with cross-functional stakeholders - A focus on progress over perfection, with the ability to remain poised in a fast-paced environment - Experience working on small, agile teams or within a startup environment (preferred) - Experience in external-facing roles or client presentations (preferred) - Experience in vendor evaluation or benefits consulting (preferred) - Prior exposure to statistical inference methods or experience working with R (preferred) The target base salary range for this position is $159,000 - $196,480, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. - Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type. - Employer sponsored 401(k) match of up to 2% for retirement planning - A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents. - We offer competitive paid time off policies including vacation, sick leave and company holidays. - At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents. - Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals. - Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses. - Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription - Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care - Up to $1,000 Professional Development Reimbursement a year. - $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Ready to do the most impactful work of your life? Learn more about our values, what it’s like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

• Lead data-driven projects that enhance user experience and drive engagement • Collaborate with cross-functional teams to develop data solutions • Design and implement predictive models to inform business strategies • Analyze large datasets to deliver actionable insights