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# Director, Data Science

- **Company:** DaVita Inc.
- **Location:** Denver, CO, United States
- **Experience:** Experienced
- **Salary:** $129,000.0 - $205,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Health Informatics, Clinical Data Repository, Data Flow Control, Monitoring of Systems, Data Intelligence, Interoperability, Python (Programming Language), Machine Learning, Natural Language Processing, Explainable AI (XAI), Fast Healthcare Interoperability Resources, Large Language Models, Grafana, IT Architecture, Deep Learning, Generative AI, AI Platforms, Information Technology, Health Level Seven International, Machine Learning Operations
- **Published:** October 2, 2026
- **Apply:** https://www.builtincolorado.com/job/director-data-science/11492659?handler=ApplyRedirect

## About the Role

* Master's degree or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field is Required., * 7-10+ years of applied experience in data science, advanced analytics, or machine learning with proven results.
 * 3-5+ years of leadership or management experience, successfully building and scaling data science teams.
 * Experience within the healthcare industry (handling clinical data, EHR, or healthcare interoperability standards like HL7/FHIR) is highly Preferred.

Technical Skills:

 * Deep expertise in machine learning, deep learning, NLP, and Generative AI (e.g., LLMs, transformers, GANs).
 * Advanced proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
 * Extensive hands-on experience with the Google Cloud Platform (GCP) software stack, including Vertex AI, BigQuery, AI Platform, and Dataflow.
 * Strong understanding of MLOps best practices, centralized ML pipelines, and model monitoring/observability tools (e.g., Arize).

Soft Skills:

 * Masterful ability to translate complex statistical blockers into actionable business decisions for non-technical leadership.
 * Exceptional strategic scaling capabilities-balancing continuous model maturity with reusable tools and services.
 * Refuses to shortcut the data science process, showing a track record of actively pushing back on aggressive timelines to ensure safety and rigor in production.

## Description

* Lead, mentor, and grow a high-performing data science team (directing multiple direct and indirect reports).
 * Instill uncompromising methodological rigor; ensure models undergo rigorous feature engineering, calibration, and threshold selection before transitioning from POC to production.
 * Foster a culture of quality, innovation, and agile delivery rooted in the "DaVita Way" and Core Values (CaSP).

 3. Model Development & Delivery (25%)
 * Oversee the end-to-end delivery of major modeling initiatives (e.g., Hospital Discharge Summary solutions, 90-day PCT retention models, CMS Survey predictions, and LLM fine-tuning).
 * Direct the operationalization of models via centralized ML Pipelines and the Vertex AI Feature Store (VFS) to accelerate data science velocity and reduce deployment friction.
 * Drive the scaling of custom-built model monitoring services (e.g., VigiLens, Arize) to ensure sustained performance, fairness, and accuracy of enterprise AI products.

 4. Cross-Functional Collaboration & Governance (20%)
 * Partner seamlessly with AI Engineering, IT Architecture, Medical Informatics, and Clinical/Business stakeholders to weave AI/ML into integrated delivery roadmaps.
 * Spearhead the adoption of Responsible AI (RAI) and Explainable AI (xAI) frameworks, ensuring all models adhere to fairness, privacy, security, and healthcare compliance standards.
 * Collaborate with the broader Technology People Services and Data Intelligence organizations to cross-train talent and build DaVita's internal AI bench.