About the job
Join our dynamic team at CohereHealth as a Senior Data Scientist, where innovation meets impact. We are seeking forward-thinking professionals who are eager to explore hidden insights, influences, and outcomes that support our product, leadership, and clinical teams. By leveraging optimization and statistical methodologies across diverse datasets, you will play a crucial role in addressing a variety of strategic and clinical challenges.
As a rapidly expanding organization, we pride ourselves on our talented and dedicated team who are passionate about improving healthcare for providers and patients alike. This position offers an exceptional opportunity to drive significant contributions to our company while experiencing swift career advancement within our growing data science team.
What You’ll Do:
- Lead strategic data science initiatives that have a direct influence on our product roadmap and overall business success, collaborating with cross-functional teams.
- Own the data science milestones, gather requirements effectively, and identify risks and opportunities from various data sources.
- Conduct thorough analyses of diverse healthcare and product datasets to facilitate data-driven decision-making that enhances business outcomes and ROI.
- Guide junior data scientists in development practices and statistical methodologies, perform code reviews, and effectively communicate with non-technical stakeholders.
- Utilize data visualization techniques to present findings and propose actionable solutions to business challenges.
- Design and execute causal inference analyses utilizing healthcare claims, EHR, and similar datasets.
- Employ advanced technologies, including large language models and stochastic optimization, to foster quicker and more informed decision-making.
What You’ll Need:
- A minimum of 5 years of hands-on data science experience, ideally within a healthcare analytics or population health organization where health outcomes are paramount.
- Proven leadership experience in healthcare data science, demonstrating a history of influencing product strategy and driving business results.
- Exceptional communication skills, with the ability to translate business requirements into technical data science specifications and vice versa.
- Expertise in current modeling techniques, scientific methodologies for intervention analysis, trend analysis, causal inference, and pattern recognition.
- Extensive experience with diverse data mining and analysis methods.

