• Perform scientific clinical data review in collaboration with SRP and SRS • Establish and confirm data review expectations for assigned trials • Manage data flows and Data Management Plans

• Work with IQVIA Information Partner Services Data Science team to help address business issues and opportunities from retail pharmacies using established methodologies and machine learning and statistical analysis tools under the supervision of other Data Scientists • Collaborate with other IQVIA Information Partner Services colleagues, as needed • Use advanced Data Exploration and Machine Learning knowledge to identify and deliver business insights in partnership with Engagement Managers and other Data Scientists • Support the execution of data science projects and promote data-centric decision making • Develop machine learning and statistical models following best practices for re-usability, stability, automation and documentation including models’ assumptions • Provide expertise in statistical/ML methodologies • Support project execution following detailed guidelines under detailed to moderate supervision

• Provide leadership to the Data Science & Analytics team and foster cross-functional collaboration (including engineering, product, etc.) to align data initiatives with broader business objectives. • Report to the Chief Technology Officer and work closely with the Director of Engineering and Sr. Director of Solutions. • Design and implement machine learning models to classify contacts, predict user engagement, and identify behavioral trends. • Develop and refine metrics to quantify spiritual growth and content effectiveness. • Analyze large datasets to extract insights that inform strategic decisions, campaign performance, and digital outreach strategies. • Design and evaluate A/B tests, multivariate experiments, and causal analyses to test hypotheses and optimize messaging, user flows, and engagement pathways. • Partner with the Director of Engineering to source, clean, and prepare structured and unstructured data for analysis and model deployment. • Communicate complex data insights to stakeholders at all levels through clear narratives and effective data visualizations, enabling data-driven decision-making across the organization. • Stay informed on trends in data science, machine learning, and AI—especially those applicable to digital engagement and nonprofit work.

At Root, we’re on a mission to improve the lives of our customers by offering better insurance solutions. We challenge ourselves to think differently in order to reimagine insurance to make it smarter, more equitable, and a better experience for all. We strive to “unbreak” the archaic insurance industry by using data and technology in innovative new ways. We believe we must be steadfast in our commitments to research, experimentation, and disciplined data-driven decision making in order to build products our customers love. The Opportunity We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry. Salary Range: $ 192,693 - $264,953 (Bonus and LTI Eligible) Root is a “work where it works best” company, meaning we will support you working in whatever location that works best for you across the US. How You Will Make an Impact Set the direction for Root’s LTV estimation framework to bring precision and rigor to Root’s critical strategic and financial decisions Define and maintain the LTV roadmap, evolving models alongside the business and delivering insights that guide both current and future decisions Lead a team of data scientists and analysts, developing talent, guiding execution, and fostering a culture of ownership, rigor, and collaboration Drive improvements in automation, maintainability, and reproducibility to support scale and cross-functional adoption of LTV tools Champion Forecast vs. Actual (FvA) analysis as a feedback loop for improving model accuracy and simulation fidelity over time. Partner closely with Marketing, Pricing, Product, and Finance to align priorities and translate modeling efforts into business impact What You Will Need to Succeed Advanced degree in a quantitative discipline (PhD preferred) and 7+ years of applying advanced quantitative techniques to problems in industry 3+ years in a leadership role, with a track record of growing talent, scaling team impact, and delivering strategic outcomes Demonstrated experience building, validating, and applying statistical machine learning methods to industry problems Proven ability to work cross-functionally to drive alignment between data science priorities and high-impact business initiatives Fluency in Python and SQL, with experience in cloud-based environments and modern data science workflows (e.g., version control, workflow automation) Excellent written and verbal communication skills, with the ability to clearly communicate with both technical and non-technical audiences Ability to consider problems from first principles, combining critical thinking with domain knowledge to navigate ambiguity Ownership mentality: takes the initiative to identify, champion, and execute on the highest impact work As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We’re happy to talk it through.