Data Scientist

The Role:

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.

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.

Key Responsibilities:

• Develop and maintain measurement frameworks for engagement, outcomes, and ROI that support customer reporting, pre-sales analytics, and strategic planning
• Lead performance and program evaluations, including assessing effectiveness of engagement strategies, clinical programs, and interventions using observational, quasi-experimental, or benchmark-based approaches
• Apply predictive analytics, forecasting, and scenario modeling to support growth strategy, customer projections, capacity planning, and network optimization
• Conduct ad hoc analyses to answer time-sensitive business, clinical, or customer questions, forming defensible recommendations when data is incomplete or evolving
• Serve as an analytics subject matter expert across the member lifecycle—from enrollment and activation through engagement, outcomes, and retention
• Analyze member behavior across digital product usage, content engagement, marketing touchpoints, and care pathways to evaluate impact on health outcomes and revenue
• Define, monitor, and evolve KPIs and benchmarks aligned with business objectives, including engagement rates, conversion, utilization, and outcomes value
• Support forecasting, scenario modeling, and predictive analyses to inform growth strategy, customer projections, and network optimization
• Conduct rigorous data quality checks, identify discrepancies, and partner with BI, data science, product, and engineering to improve data reliability and fitness for purpose
• Translate complex analytical findings into executive-ready narratives, customer-facing materials, and clear recommendations that can be defended even when data is incomplete
• Collaborate cross-functionally to support experimentation, campaign evaluation, and opportunity sizing using behavioral and engagement analytics
• Contribute to documentation, knowledge sharing, and mentoring to strengthen analytics best practices across teams

What We’re Looking For

• Deep experience in advanced analytics, engagement analytics, and outcomes measurement, ideally within healthcare, benefits, or digital health
• Strong proficiency working within a modern, cloud-based analytics environment (e.g., SQL, Python/R, dbt, BI tools, data warehouses)
• Ability to quickly orient to new data structures, assess data limitations, and build pragmatic, scalable analytical solutions
• Comfort forming hypotheses, making recommendations under uncertainty, and balancing rigor with business practicality
• Excellent communication skills, with the ability to influence cross-functional partners and senior leaders
• A collaborative mindset and curiosity-driven approach to understanding what drives member behavior and how analytics can improve outcomes and revenue

Why This Role Matters

This is a critical hybrid role that strengthens Carrot’s ability to measure, explain, and scale engagement and outcomes value across customers. By integrating engagement insights with outcomes and financial impact, this role ensures Carrot can confidently tell a cohesive, data-driven story to employers, health plans, and internal stakeholders.

As Carrot continues to grow, customers increasingly expect credible, defensible evidence that links member engagement to improved health outcomes, cost savings, and ROI. This role plays a central part in meeting that expectation by developing scalable measurement frameworks, supporting pre-sales and customer reporting, and translating complex data into insights that inform both strategy and execution.

Ultimately, this role helps bridge the gap between member behavior, clinical outcomes, and business performance, enabling Carrot to drive smarter decisions, strengthen customer trust, and support long-term growth in a highly competitive and regulated market.

The Team:
The Outcomes Analytics team is a highly experienced, multidisciplinary group with advanced training in data science, healthcare economics, biostatistics, and related quantitative fields, including Master’s- and PhD-level expertise. The team is responsible for delivering rigorous, decision-ready analytics that support the Growth & Engagement organization by evaluating how new services, benefit designs, and product features influence member engagement, revenue performance, and customer retention. In addition, the team partners closely with Growth & Engagement to assess how campaigns and channels shape member behavior across the lifecycle, including enrollment, utilization, and plan renewal.

 

Minimum Qualifications:

• Bachelor’s degree in a quantitative field such as statistics, data science, economics, biostatistics, computer science, marketing analytics, or a related discipline, with 5–7+ years of relevant analytical experience; advanced degree (master’s or Ph.D.) preferred.
• Experience in healthcare, health technology, insurance, benefits, or other regulated data environments strongly preferred, including work related to outcomes measurement, utilization analysis, program evaluation, or engagement analytics.
• Demonstrated experience designing, evaluating, and interpreting engagement-, utilization-, and outcomes-based models, with a clear understanding of how analytical insights inform financial performance, ROI, and value realization for enterprise, payer, or employer stakeholders.
• Strong proficiency working in cloud-based data warehouse environments (e.g., Snowflake, AWS) and with large-scale analytical datasets, including integrating data across multiple systems and domains (e.g., product, engagement, marketing, operational, and outcomes data).
• Hands-on experience with analytics engineering approaches such as dbt or warehouse-native pass-through SQL using statistical or analytical tools (e.g., Python, R, SAS), including building, testing, documenting, and maintaining analytical models in collaboration with data engineering and BI teams.
• Advanced SQL expertise, with the ability to write efficient, well-structured queries to support complex analytical workflows.
• Strong working knowledge of Python for data analysis, including data manipulation, statistical analysis, and applied modeling; experience with R or similar tools is a plus.
• Familiarity with advanced analytics, machine learning, and predictive modeling techniques, including regression-based methods, forecasting, cohort analysis, and scenario modeling applied to real-world business or healthcare problems.
• Solid foundation in statistical concepts and methods, such as hypothesis testing, regression analysis, experimental or quasi-experimental design, and cohort-based analysis.
• Experience analyzing member or customer lifecycle behavior, including conversion funnels, engagement decay, segmentation, response patterns, and personalization strategies, and translating these insights into actionable recommendations.
• Experience with marketing and engagement analytics (B2C or B2B2C), including campaign measurement, A/B testing, lifecycle optimization, and evaluation across channels such as email, SMS, search, and in-app experiences.
• Proficiency developing clear, decision-ready visualizations and analytical narratives using tools such as Tableau or similar BI platforms, tailored to both technical and non-technical audiences.
• Experience following version control and change-management best practices, including Git/GitHub or equivalent approaches in structured analytics environments, to support reproducibility, documentation, and collaborative development.
• Proven ability to translate ambiguous business or clinical questions into structured analytical approaches, balancing rigor with practicality when data is incomplete or evolving.
• Experience applying best practices in data governance, data modeling, validation, and quality assurance, particularly in environments where analytical outputs must be defensible to external stakeholders.
• Strong organizational and prioritization skills, with the ability to manage multiple analytical initiatives in a fast-paced, high-growth environment.
• Excellent communication and presentation skills, with the ability to clearly explain analytical findings, assumptions, and limitations to cross-functional partners, including product, growth, finance, clinical, and technical teams.

Compensation: 

Carrot offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work, including health and wellness benefits, retirement savings plans, short- and long-term incentives, parental leave, family-forming assistance, and a competitive compensation package. The starting base salary for this position will range from $135,000.00 - $150,000.00. Actual compensation may vary from posted base salary depending on your confirmed job-related skills and experience.

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