Data Scientist

<div class="content-intro"><p><strong data-stringify-type="bold">About Carrot:</strong></p> <p><a href="https://c212.net/c/link/?t=0l=eno=4420559-1h=3535232987u=https%3A%2F%2Fwww.carrotfertility.com%2Fa=Carrot+Fertility">Carrot</a> is a global, comprehensive fertility and family care platform, supporting members and their families through many of life's most memorable moments. Trusted by many of the world’s leading multinational employers, health plans, and health systems, Carrot’s proven clinical program delivers exceptional outcomes and experiences for members and industry-leading cost-savings for employers. Its award-winning products serve all populations, from preconception care through pregnancy, IVF, male factor infertility, adoption, gestational carrier care, and menopause. Carrot offers localized support in over 170 countries and 25 languages. With a comprehensive program that prioritizes clinical excellence and human-centered care, Carrot supports members and their families through many of the most meaningful moments of their lives. Learn more at <a href="http://get-carrot.com">get-carrot.com</a>.</p></div><p><strong>The Role: </strong><strong><br></strong></p> <p>We are seeking a Data Scientist to support Carrot’s growing Outcomes Analytics and Growth Engagement efforts by developing structured, scalable approaches to measuring member engagement, program performance, health outcomes, and revenue impact. This role blends advanced analytics, strategic thinking, and business acumen to inform customer-facing outcomes, drive member engagement, provide pre-sales insights, and assist internal decision-making.</p> <p>This individual will work closely with Clinical Outcomes, Growth Engagement, Finance, and Carrot’s Enterprise Data Team to connect complex, multi-source data (e.g., product, engagement, marketing, operational, and claims-adjacent data) into defensible measurement frameworks. While not responsible for core data engineering or infrastructure, the role requires strong hands-on experience working with large datasets, leveraging a modern cloud-based analytics stack, and translating analytical findings into clear, actionable insights for senior stakeholders.</p> <h6><strong>Key Responsibilities:</strong></h6> <ul> <li>Develop and maintain measurement frameworks for engagement, outcomes, and ROI that support customer reporting, pre-sales analytics, and strategic planning</li> <li>Lead performance and program evaluations, including assessing effectiveness of engagement strategies, clinical programs, and interventions using observational, quasi-experimental, or benchmark-based approaches</li> <li>Apply predictive analytics, forecasting, and scenario modeling to support growth strategy, customer projections, capacity planning, and network optimization</li> <li>Conduct ad hoc analyses to answer time-sensitive business, clinical, or customer questions, forming defensible recommendations when data is incomplete or evolving</li> <li>Serve as an analytics subject matter expert across the member lifecycle—from enrollment and activation through engagement, outcomes, and retention</li> <li>Analyze member behavior across digital product usage, content engagement, marketing touchpoints, and care pathways to evaluate impact on health outcomes and revenue</li> <li>Define, monitor, and evolve KPIs and benchmarks aligned with business objectives, including engagement rates, conversion, utilization, and outcomes value</li> <li>Support forecasting, scenario modeling, and predictive analyses to inform growth strategy, customer projections, and network optimization</li> <li>Conduct rigorous data quality checks, identify discrepancies, and partner with BI, data science, product, and engineering to improve data reliability and fitness for purpose</li> <li>Translate complex analytical findings into executive-ready narratives, customer-facing materials, and clear recommendations that can be defended even when data is incomplete</li> <li>Collab ... (truncated, view full listing at source)