Director, Data Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee a technical team responsible for managing CenterWell’s AI and machine learning initiatives.

• Convert product priorities into validated AI solutions that enhance patient-care metrics and operational efficiency.

• Direct the development and validation of AI/ML models tailored for specific business segments and company-wide applications.

• Utilize suitable AI methodologies within healthcare environments.

• Encourage experimentation and quick prototyping to assess technical feasibility and model efficacy.

• Ensure that models are operationally sound, maintainable, and ready for production.

• Establish enterprise-level frameworks for monitoring models and tracking production performance.

• Articulate the technical vision, roadmap, and operational model for scalable data science.

• Collaborate with AI Product Management to convert use cases into technical strategies, timelines, and resource allocations.

• Offer technical consulting regarding feasibility, effort estimation, and trade-offs.

• Convey model capabilities and performance metrics to non-technical stakeholders.

• Develop technical roadmaps that align with product priorities.

• Engage with clinical and operational partners to grasp domain context and validate model outputs.

• Build and nurture a high-performing data science team that promotes collaboration and continuous learning.

• Create reusable frameworks, model templates, and shared libraries.

• Partner with Product, IT, Enterprise AI, data governance/architecture, clinical, and operations teams.

⛳️ Requirements

• Over 8 years of data science experience focused on developing and deploying ML models in production settings.

• Profound technical knowledge in AI/ML methodologies.

• Practical experience in writing and reviewing product-quality code.

• Proven track record in developing models from initial conception to production deployment.

• At least 5 years of management experience, including talent development and cross-functional leadership.

• Experience collaborating with product, engineering, and partners to translate requirements into technical solutions.

• Familiarity with MLOps practices such as model versioning, experiment tracking, and product monitoring.

• Ability to articulate complex technical ideas to non-technical audiences.

• Capacity to maintain credibility with senior data scientists and ML engineers.

• Demonstrated leadership in establishing technical standards, best practices, and team processes.

• Willingness to work during Eastern Time Zone hours.

• A dedicated workspace free from ongoing interruptions to safeguard member PHI/HIPAA information.

• Home internet service with a minimum of 25 Mbps download and 10 Mbps upload speeds.

• Preferred: experience in healthcare environments, EHR data, clinical terminologies, and healthcare-specific ML complexities.

• Preferred: knowledge of healthcare regulatory frameworks.

• Preferred: advanced degree (MS or PhD) in computer science, (bio)statistics, informatics, or a related quantitative field.

🏝️ 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.

• Home or hybrid home/office work arrangement.

• Self-provided internet service for home employees.

• Occasional travel to Humana offices for training or meetings.