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Director, Data Science

đź•’ August 21

🇺🇸 United States – Remote

đź’µ $189.4k - $260.5k / year

⏰ Full Time

đź”´ Lead

📊 Data Scientist

đź‘» Ghost score 30%

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Logo of CenterWell Senior Primary Care

CenterWell Senior Primary Care

1001 - 5000 employees

🏥 Healthcare

⚕️ Healthcare Insurance

Healthcare • Healthcare Insurance

CenterWell Senior Primary Care is a healthcare provider focused on delivering personalized primary care to senior citizens. The company emphasizes a comprehensive and holistic approach to healthcare, addressing the physical, social, and emotional needs of older adults. As part of its service offerings, CenterWell includes home health services and pharmacy support to complement its senior primary care. The organization is committed to offering stability, inclusive benefits, and career growth opportunities for its employees while maintaining a culture of mutual respect and mindfulness. CenterWell is a brand under the larger healthcare entity, Humana.

đź“‹ Description

• Lead a technical team managing CenterWell's AI and machine learning portfolio • Lead development and validation of AI/ML models for business-segment-specific and company-wide applications, including predictive modeling, NLP and agentic AI • Maintain technical expertise and apply appropriate AI methods in healthcare contexts • Promote experimentation and rapid prototyping to validate feasibility and model performance • Ensure models are technically sound, operationally viable and maintainable • Implement enterprise-level frameworks for production model monitoring and performance tracking • Define the data science team's technical vision, roadmap and operating model • Translate product priorities and use cases into technical approaches, timelines and resource requirements • Provide technical consulting on feasibility, effort estimation and trade-offs • Communicate model capabilities and performance to non-technical partners • Create technical roadmaps aligned with product priorities • Partner with clinical and operational stakeholders to understand context and validate model outputs • Develop a high-performing data science team and culture of collaboration and learning • Build reusable frameworks, model templates and shared libraries • Collaborate with Product, IT, Enterprise AI, data governance/architecture, clinical and operations teams

🎯 Requirements

• 8+ years of data science experience developing and deploying ML models in production environments • Deep technical expertise in AI/ML approaches • Hands-on experience writing and reviewing product-quality code • Experience developing models from conception through production • 5+ years of management experience, including talent development and crossfunctional leadership • Experience partnering with product and engineering partners to translate requirements into technical solutions • Experience with MLOps practices, including model versioning, experiment tracking and product monitoring • Ability to communicate complex technical concepts to non-technical audiences • Demonstrated leadership establishing technical standards, best practices and team processes • Ability to work Eastern Time Zone hours • Preferred: Experience in healthcare settings, EHR data, clinical terminologies and healthcare-specific ML complexities • Preferred: Familiarity with healthcare regulatory frameworks • Preferred: Advanced degree (MS or PhD) in computer science, (bio)statistics, informatics or related quantitative field • Home internet with minimum 25 Mbps download and 10 Mbps upload speeds • Dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information

🏖️ Benefits

• Bonus incentive plan based on company and/or individual performance • Medical benefits • Dental benefits • Vision benefits • 401(k) retirement savings plan • Paid time off • Company holidays • Personal holidays • Paid parental leave • Paid caregiver leave • Short-term disability • Long-term disability • Life insurance • Dedicated work-from-home space • Remote work arrangement with occasional travel to Humana offices for training or meetings

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