Director, Data Science

We are seeking a visionary and hands-on Director of Data Science to lead our data science initiatives, drive innovation, and unlock the value of data to improve healthcare outcomes, operations, and strategic decision-making. This individual will oversee the development and deployment of advanced analytical models and machine learning solutions across multiple business units. A background in healthcare is strongly preferred, as a deep understanding of clinical, claims, or operational healthcare data will be critical to success.

• Define and execute the organization’s data science strategy aligned with business goals.
• Serve as a thought leader in AI/ML and advanced analytics, driving innovation and long-term value creation.
• Partner with stakeholders across clinical, operational, product, and technology teams to deliver impactful data solutions.

• Lead the design, development, and deployment of machine learning models and advanced analytics solutions.
• Champion the use of AI/ML in predictive modeling, natural language processing, and other healthcare use cases.
• Guide model validation, monitoring, and performance optimization practices.

• Build and manage a high-performing team of data scientists, ML engineers, and analysts.
• Provide mentorship, career development, and technical leadership to team members.
• Promote a culture of experimentation, continuous learning, and ethical AI use.

• Apply data science to real-world healthcare challenges, such as patient risk stratification, readmission prediction, cost forecasting, and clinical decision support.
• Utilize structured and unstructured data from EHRs, claims, registries, wearables, and other healthcare data sources.
• Stay current on industry trends, standards (e.g., FHIR, ICD-10, CPT), and regulations (e.g., HIPAA, HITECH).

• Establish standards for model governance, reproducibility, and compliance.
• Collaborate with data engineering and analytics teams to ensure data quality and infrastructure readiness.
• Translate complex data insights into clear business recommendations for executive leadership.

Required:

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
• 10+ years of experience in data science or machine learning, with at least 3 years in a leadership or management role.
• Proven experience applying advanced analytics to solve complex business problems.
• Strong proficiency in programming language like Python or R, SQL, 
• Experience with deep learning frameworks (e.g. TensorFlow, PyTorch.)
• Deep understanding of cloud-based data platforms (AWS, Azure, or GCP).
• Prior experience of building, maintaining, and improving machine learning models (neural networks, logistic regressions, boosted trees, k-means clustering, Keras, scikit-learn, XGBoost, PyMC3 etc.)
• Experience with Knowledge Graphs, retrieval augmented generation (RAG), Large Language Models (LLMs), Search etc
• Extensive experience with BI tools like Looker, Tableau, or PowerBI
• Excellent communication skills, with the ability to translate technical concepts into strategic business value.

Preferred:

• Background in healthcare, with experience working with EHR, claims, population health, or clinical outcomes data.
• Experience with healthcare-specific applications like risk adjustment, utilization management, or patient engagement.
• Familiarity with HIPAA, healthcare compliance, and ethical AI practices.

This is a hybrid position based out of our San Francisco office, with the expectation of being in office at least two weekdays per week. #LI-hybrid 

The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.