Data Scientist 3 (Product Analytics)

Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S. Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. Cedar is a patient payment and engagement platform that leverages data science, AI, consumer-centric design and technology to improve the healthcare experience for patients. The Data Science team plays a critical role in achieving Cedar’s vision. We ensure data and insights are accessible and trusted by all internal and external stakeholders to enable data-driven decision-making. Through analytics, descriptive analyses, and statistical models, we consistently aim to better understand the needs of patients, find improvement opportunities, and impact the product development process. We run experiments to test our various hypotheses and measure our progress. We build ML models and embed them into our web app to deliver a personalized experience to patients. We help differentiate Cedar's product offerings with hard-to-copy competitive advantages. To do this, we have built an open, supportive, and collaborative team culture. “Love thy teammate” is one of our Data Science values, and we live into this value by operating from a mindset of curiosity, possibility, and the best intentions of each of our team members. As a team, we are dedicated to continually growing our technical excellence and collaborative excellence, equally. The Role: Cedar is growing rapidly and the demand for data expertise is increasing exponentially along with our growth. We’re seeking a Data Scientist III (Product Analytics) on our Data Science team to work with our product development teams to enable robust data-driven decisions and understand user behavior through in-depth data analysis. As a Data Scientist III (Product Analytics) , you will be responsible for ensuring that we are building world-class products that truly address the needs of our users and customers through data insights. You will identify clear and strategic product opportunities, measure the success of our products and AI personalization platform, understand product strengths and areas for improvement - by immersing yourself in Cedar data and the stories that it tells. You will continuously apply a growth mindset in your approach to problems. Responsibilities Partner with Product, Design, and Engineering to uncover user behavior insights and drive data-motivated decision-making. Design, execute, and evaluate product experiments to improve the patient experience and move key business metrics. Conduct exploratory research to identify new strategic levers and opportunities for product optimization. Define, measure, and track the success of new and existing product features. Build scalable dashboards to democratize actionable data insights across the organization. Communicate complex statistical findings and methodologies clearly to stakeholders at all levels. Skills and Experience 5+ years in a product analytics or data science role (healthcare, fintech, or complex e-commerce experience is a plus). Expert-level SQL and strong Python skills for data manipulation and analysis. Deep understanding of statistical methods and A/B test design for product evaluation. Proven track record of cross-functional collaboration with product, design, and engineering teams to launch and measure products. A proactive attitude with a passion for delivering a world-class user experience and a strong growth mindset. Familiarity with modern data stack tooling…