Sr. Data Scientist

Homeward

12h • Hybrid

About The Position

Homeward is dedicated to rearchitecting health and care delivery in rural America, addressing the crisis of access to care that leads to significantly poorer clinical outcomes and higher mortality rates for rural Americans. The company aims to create a new healthcare delivery model purpose-built for these communities, supporting Medicare-eligible beneficiaries by partnering with health plans, providers, and communities to take financial accountability for clinical outcomes and total cost of care. As a public benefit corporation and Certified B Corp™, Homeward's mission aligns with addressing healthcare, economic, and demographic challenges. Their Homeward Navigation™ platform uses advanced analytics to connect members to appropriate care and local resources, improving holistic health outcomes. Homeward also employs care teams to supplement local practices where clinical capacity is lacking. The company was co-founded by a leadership team from Livongo and is backed by $70 million in funding from Arch Ventures, Human Capital, and General Catalyst.

Requirements

• Master’s degree, or foreign equivalent, in Data Science, Bioinformatics, or closely related quantitative discipline
• Two (2) years of experience in job offered or in any occupation in a related field
• Healthcare Analytics
• SQL
• Python
• Statistical analysis
• Data visualization
• Experience with large datasets
• Scikit-learn
• AWS
• Databricks

Responsibilities

• Deliver analytic and data science products – from business intelligence to analytics to predictive modeling – within the health care data domain (e.g., clinical outcomes, clinical quality, cost of care).
• Develop risk stratification models using EHR, claims, RA, actuarial experience, and a variety of other data sources to match members with the appropriate care pathways.
• Conduct opportunity assessments for reducing total cost of care or improving code capture as Homeward works in new geographies and with new clients and partners.
• Evaluate the effectiveness of service delivery for different population segments relative to clinical and cost outcomes.
• Collaborate with the Technology team to purpose-build a healthcare data infrastructure that supports high-impact analytics.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 11-50 employees