At Collective Health were transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology compassionate service and world-class user experience design.
About the Role
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.
What youll do:
Strategic Leadership
- Define and execute the organizations 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.
Data Science Development
- 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.
Team Management
- 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.
Healthcare Data Application
- 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).
Governance & Collaboration
- 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.
To be successful in this role youll need:
Required:
- Masters 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.
Pay Transparency Statement
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 Francisco CA Pay Range
$226085$283250 USD