Principle Data Scientist

**Principal Data Scientist Position** (REMOTE)

**About Us:**

Our client is at the forefront of revolutionizing healthcare by empowering physicians to return to the heart of patient care. Our organization is built on the expertise of leading physicians, public health experts from prestigious institutions, cutting-edge technologists, and pioneers in healthcare innovation. Together, we're tackling the challenges faced by primary care providers, driven by an aging demographic and the complexities of the current healthcare model. Our mission is to reintroduce humanism into healthcare, enabling doctors to focus on patient care through improved time management, autonomy, and the alignment of incentives with patient outcomes. We're leveraging actionable intelligence and an innovative marketplace to optimize risk management and care delivery. Our efforts are supported by a strategic partnership aimed at expanding value-based care, backed by leading investors in the tech and healthcare sectors.

**The Role:**

We're on the lookout for a Principal Data Scientist with exceptional skills and a passion for applying their expertise across a broad range of research domains within our Data Science and Analytics team. Your role will encompass a variety of responsibilities, including:

• Identifying patients who require urgent care through risk stratification.
• Employing causal analysis to assess the impact of our platform on healthcare delivery.
• Conducting health economics research to pinpoint inefficiencies within our extensive network of primary care providers.
• Developing financial models to evaluate the economic performance of primary care providers in various value-based care (VBC) settings.
• Creating analytical pipelines and reports to support evidence-based decision-making by business stakeholders.

This position is dynamic, requiring you to apply your expertise across these areas over time. You'll be expected to lead quantitative research initiatives, mentor colleagues, provide strategic insights to leadership, collaborate with internal teams, and exemplify excellence in quantitative research.

**What We Expect:**

• Profound knowledge in quantitative methods such as causal inference, deep learning, and Bayesian analysis, with the ability to quickly grasp new techniques as needed.
• Versatility in using diverse data sources for analysis and identifying new data opportunities to support business and research objectives.
• A balance between thorough research and delivering impactful results swiftly in a fast-paced environment.
• Strategic leadership in data science initiatives, fostering collaboration across teams to harness data-driven opportunities.
• A commitment to hands-on data exploration and analysis, while also guiding and mentoring team members.
• Advocacy for continuous learning, stay