Product Manager, Data Science – Machine Learning

November 25

Apply Now
Logo of Accompany Health

Accompany Health

Healthcare Insurance • Healthcare • Social Impact

Accompany Health is a healthcare provider that offers comprehensive medical, mental health, and social care services, emphasizing personalized attention and supportive care. They deliver services directly to patients' homes, facilitate appointments, and provide support in navigating other healthcare needs such as housing and food access, all while ensuring their services are covered by insurance. Their goal is to create a holistic approach to health that addresses not just medical needs, but also the emotional and social factors affecting overall well-being.

📋 Description

• Lead the development and scaling of data-driven products that power Accompany Health’s mission. • Partner closely with data science and machine learning team, clinical and operations teams, and the rest of the product team. • Define product vision, prioritize initiatives, and deliver AI/ML products that are safe, effective, and impactful. • Establish success metrics for ML products and work with analytics and clinical leaders to evaluate effectiveness and drive continuous improvement.

🎯 Requirements

• 3+ years of product management experience, ideally in data science, machine learning, or healthcare technology • Strong understanding of ML concepts (e.g., NLP, predictive modeling, risk stratification) and ability to collaborate effectively with technical teams • Familiarity with healthcare data (claims, EMR/EHR, SDOH), clinical workflows, and regulatory considerations • Ability to balance long-term vision with practical, incremental product delivery • Exceptional ability to translate complex technical ideas into clear, user-centered product decisions for clinical and non-technical stakeholders • Passion for advancing health equity and improving care for underserved populations. • Experience in clinical decision support, population health management, or care coordination technology • Exposure to healthcare compliance frameworks (HIPAA, HITRUST, etc.) • Background in data science, engineering, or a technical field

🏖️ Benefits

• Equity • Benefits

Apply Now

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