Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Senior Data Scientist

Use your Data Science skills in the fight against chronic diseases.

Our client operates a pioneering disease management platform, focusing on delivering value-based care tailored to individuals with chronic conditions. By seamlessly integrating human expertise with cutting-edge software and analytics, the platform actively engages patients soon after diagnosis, ensuring they receive the most appropriate care swiftly. It offers continuous support by employing targeted, evidence-based interventions, significantly enhancing patient outcomes and making a meaningful difference in their health journey.

As a Data Scientist, you will become an integral part of our Data team, tasked with developing and enhancing our analytical capabilities to support our mission in the chronic disease space. Your role will involve modeling data and crafting visualizations to communicate with stakeholders, providing insights that inform decisions and actions. Ideal candidates will have experience handling healthcare data, including claims, prior authorizations, and electronic health records.

In this role, you will work closely with our Product, Engineering, Clinical, and Operations teams to pinpoint opportunities for improving outcomes and monitoring the effectiveness of our interventions for our members and clients. Your contributions will be crucial in establishing strong relationships with healthcare providers by developing data products that support practice transformation initiatives.

After three months, you will have:

- Developed a comprehensive understanding of our data platform, contributing to the enhancement of our data models and pipelines.

- Established connections with practices and providers in the chronic disease sector, showcasing our expertise in creating data and analytics products.

- Worked alongside stakeholders to grasp their business needs and translate these into technical specifications. This includes creating data models, pipelines, and analytics dashboards using tools like Looker or RStudio. For instance, you might employ dbt to construct models that assess medical claims data for identifying the utilization of value care across practices or to evaluate the distribution of medical care among our members and its influence on out-of-pocket expenses.

After 6 months, you will:

- Assume responsibility for and lead the development of data models that assess the impact of our interventions with practices, sharing findings both internally and externally.

- Become a pivotal figure in enhancing our data infrastructure and devising a roadmap for a scalable and modular data architecture to accommodate our team's expansion.

- Take charge of developing utilization and quality metrics, becoming the primary contact for stakeholder queries. You will also use our data resources to explore business opportunities and strategic initiatives.