Principal Data Scientist

<div class="content-intro"><p><strong>Company Overview:<br><br></strong><a href="https://www.blinkhealth.com/">Blink Health </a>is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. Our two primary products – BlinkRx and Quick Save – remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients. <br><br><a href="https://www.blinkhealth.com/blinkrx">BlinkRx </a>is the world’s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can’t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn’t have the medication in stock. <br><br>We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!</p></div><h2><strong>About the Role</strong></h2> <p>BlinkRx is looking for a Principal Data Scientist to join a small, elite team of senior data practitioners operating at the very highest levels of the organization. This is an individual contributor role - not a strategic advisory seat - where you will roll up your sleeves and solve some of the most consequential problems in healthcare commerce.</p> <p>You will sit at the intersection of data science, data engineering, and advanced analytics - building the algorithms, multidimensional models, and analytical frameworks that directly improve business outcomes and patient care. Critically, you will also influence your work: translating complex, multi-dimensional findings into clear narratives that business stakeholders can act on.</p> <h2><strong>What You'll Do</strong></h2> <ul> <li>Develop a deep understanding of customer and patient behavior to identify unmet needs, sources of product friction, and opportunities to improve the customer experience.</li> <li>Partner closely with Product, Engineering, and Operations to translate customer insights into product strategy, roadmap prioritization, and measurable outcomes.</li> <li>Define product success metrics and build measurement frameworks that evaluate customer engagement, adoption, retention, and business impact.</li> <li>Design and build AI-powered analytical tools and agentic workflows that improve productivity, automate repetitive analyses, and enable more effective product decision-making.</li> <li>Apply statistical modeling, predictive analytics, and exploratory analysis to better understand customer behavior and inform product strategy.</li> <li>Build analytical tools and scalable data models that enable product teams to make faster, data-informed decisions.</li> <li>Communicate clear, actionable insights and recommendations to executives and cross-functional stakeholders, influencing product strategy through data.</li> <li>Mentor other data scientists and help establish best practices in experimentation, measurement, and analytical rigor.</li> </ul> <h2><strong>What You'll Need</strong></h2> <ul> <li>10+ years of experience in Data Science, Product Analytics, Statistics, Economics, or another quantitative discipline.</li> <li>Demonstrated success translating ambiguous business problems into actionable analytical solutions.</li> <li>Deep expertise in statistical analysis, experim