Director, Data Science

Director, Data Science

Work Model: Fully Remote

Target Base: $245,000–$265,000

Bonus: 20% annual bonus

Travel: Dallas approximately once per quarter at most

Work Authorization: U.S. Citizens / Green Card holders only — no sponsorship

Cannot hire candidates residing in: California, New York, Hawaii, North Dakota, Oregon, Rhode Island, Washington, or Wyoming.

What They Need

This is a senior Data Science/ML leadership position responsible for building and maturing an enterprise Data Science capability while using ML, AI, and advanced customer analytics to materially improve the patient/customer journey.

The ideal candidate sits at the intersection of:

Data Science/ML Leadership + Customer Analytics + Segmentation/Personalization + Voice of Customer + Production ML Products.

The Director will inherit and lead a 7-person Data Science team, but they cannot be an executive who has moved too far away from the technology. The hiring team wants a technically credible player-coach who can set strategy, develop the team, challenge technical approaches, and help move Data Science products from concept through production and business adoption.

Core Responsibilities

• Define and execute the enterprise Data Science roadmap
• Lead and develop the existing 7-person Data Science organization

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• Build customer segmentation and personalization capabilities
• Lead predictive, recommendation, forecasting, and decision-support modeling
• Use structured and unstructured/Voice of Customer data to identify friction across the customer journey
• Develop ML and AI-enabled analytical products that directly influence customer experiences
• Establish standards around model development, validation, experimentation, monitoring, and lifecycle management
• Drive models beyond POCs into production and measurable business adoption
• Partner closely with Data Engineering, AI Engineering, Product, Digital, Clinical, and Operational teams
• Define how model performance and business impact should be measured
• Establish strong experimentation, A/B testing, causal inference, and impact-evaluation practices
• Serve as a senior advisor to executives on where Data Science and AI can create meaningful value

Must Haves

• 12+ years of Data Science, Machine Learning, Advanced Analytics, Applied Statistics, or related experience
• 5+ years leading Data Science, ML, or advanced analytics teams
• Currently or recently leading a genuine Data Science/ML function
• Strong customer analytics/customer experience background
• Hands-on experience with customer segmentation and personalization
• Predictive and recommendation modeling experience

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• Experience working with unstructured data and/or Voice of Customer data
• Proven history taking ML/Data Science products into production
• Strong Python, SQL, statistical modeling, and Machine Learning foundation
• Experience with model evaluation, monitoring, drift, interpretability, and lifecycle management
• Strong experimentation and measurement knowledge
• Ability to operate as a technical player-coach
• Strong executive communication and cross-functional leadership
• Bachelor's degree in a relevant quantitative/technical discipline

Strongly Preferred

• LLM / GenAI experience
• Customer-facing AI products
• Hyperscaler/cloud personalization capabilities
• Recommendation systems
• Causal inference and sophisticated experimentation
• Semantic models, ontologies, or knowledge graphs
• Responsible AI/model governance experience
• Healthcare, digital health, health insurance, life sciences, financial services, or another regulated environment
• Master's degree or PhD