Senior Data Science Engineer Jobs in Colorado
Senior Data Science Engineer jobs in Colorado are concentrated in Denver, Boulder, and Colorado Springs, where aerospace and defense contractors, financial services firms, and technology companies maintain large analytics and machine learning teams. Employers like Lockheed Martin, Charles Schwab, and Palantir Technologies have established deep roots in the state and consistently hire at the senior level across specialties including NLP, MLOps, and large-scale distributed systems. Colorado ranks among the most active markets in the country for senior data science talent, with demand for professionals who can architect end-to-end pipelines and translate complex models into production systems. See the openings below and apply to the ones that match your experience.
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Posting Date
10/02/2026 2000 16th Street, Denver, Colorado, 80202, United States of America1. Strategic Leadership & Vision (30%)
- Develop and execute a strategic roadmap for AI/ML development that aligns with DaVita's clinical and business objectives.
- Expand the enterprise-wide data science capabilities by focusing on complex deep learning techniques, Generative AI (GenAI), and natural language processing (NLP).
- Champion the ROI of predictive modeling and identify marquee opportunities, presenting findings and strategic recommendations to senior Technology and Business leaders.
2. Team Leadership & Development (25%)
- 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.
Total Allocation of Time: 100%
MINIMUM QUALIFICATIONS
Education:
- Master’s degree or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field is Required.
Experience:
- 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.
What We’ll Provide:
More than just pay, our DaVita Rewards package connects teammates to what matters most. Teammates are eligible to begin receiving benefits on the first day of the month following or coinciding with one month of continuous employment. Below are some of our benefit offerings.
- Comprehensive benefits: Medical, dental, vision, 401(k) match, paid time off, PTO cash out
- Support for you and your family: Family resources, EAP counseling sessions, access Headspace®, backup child and elder care, maternity/paternity leave and more
- Professional development programs: DaVita offers a variety of programs to help strong performers grow within their career and also offers on-demand virtual leadership and development courses through DaVita’s online training platform StarLearning.
At DaVita, we strive to be a community first and a company second. We want all teammates to experience DaVita as "a place where I belong." Our goal is to embed belonging into everything we do in our Village, so that it becomes part of who we are. We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic.
This position will be open for a minimum of three days.
The Salary Range for the role is $129,000.00 - $205,000.00/year.For location-specific minimum wage details, see the following link: DaVita.jobs/WageRates
Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies and experience. DaVita offers a competitive total rewards package, which includes a 401k match, healthcare coverage and a broad range of other benefits. Learn more at https://careers.davita.com/benefits
Colorado Residents: Please do not respond to any questions in this initial application that may seek age-identifying information such as age, date of birth, or dates of school attendance or graduation. You may also redact this information from any materials you submit during the application process. You will not be penalized for redacting or removing this information.
Beware of Recruitment Fraud
DaVita will never ask for payment or personal financial information at any point in the hiring process, nor will we ever communicate with you using email addresses outside of the DaVita secure network. If you receive a request like this, it is not legitimate. Do not share your information.
Career Growth - From clinical and operations to corporate jobs, our learning and development programs help guide your career journey.
Posting Date
10/02/2026 2000 16th Street, Denver, Colorado, 80202, United States of America1. Strategic Leadership & Vision (30%)
- Develop and execute a strategic roadmap for AI/ML development that aligns with DaVita's clinical and business objectives.
- Expand the enterprise-wide data science capabilities by focusing on complex deep learning techniques, Generative AI (GenAI), and natural language processing (NLP).
- Champion the ROI of predictive modeling and identify marquee opportunities, presenting findings and strategic recommendations to senior Technology and Business leaders.
2. Team Leadership & Development (25%)
- 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.
Total Allocation of Time: 100%
MINIMUM QUALIFICATIONS
Education:
- Master’s degree or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field is Required.
Experience:
- 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.
What We’ll Provide:
More than just pay, our DaVita Rewards package connects teammates to what matters most. Teammates are eligible to begin receiving benefits on the first day of the month following or coinciding with one month of continuous employment. Below are some of our benefit offerings.
- Comprehensive benefits: Medical, dental, vision, 401(k) match, paid time off, PTO cash out
- Support for you and your family: Family resources, EAP counseling sessions, access Headspace®, backup child and elder care, maternity/paternity leave and more
- Professional development programs: DaVita offers a variety of programs to help strong performers grow within their career and also offers on-demand virtual leadership and development courses through DaVita’s online training platform StarLearning.
At DaVita, we strive to be a community first and a company second. We want all teammates to experience DaVita as "a place where I belong." Our goal is to embed belonging into everything we do in our Village, so that it becomes part of who we are. We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic.
This position will be open for a minimum of three days.
The Salary Range for the role is $129,000.00 - $205,000.00/year.For location-specific minimum wage details, see the following link: DaVita.jobs/WageRates
Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies and experience. DaVita offers a competitive total rewards package, which includes a 401k match, healthcare coverage and a broad range of other benefits. Learn more at https://careers.davita.com/benefits
Colorado Residents: Please do not respond to any questions in this initial application that may seek age-identifying information such as age, date of birth, or dates of school attendance or graduation. You may also redact this information from any materials you submit during the application process. You will not be penalized for redacting or removing this information.
Beware of Recruitment Fraud
DaVita will never ask for payment or personal financial information at any point in the hiring process, nor will we ever communicate with you using email addresses outside of the DaVita secure network. If you receive a request like this, it is not legitimate. Do not share your information.
Career Growth - From clinical and operations to corporate jobs, our learning and development programs help guide your career journey.
See All 10 Senior Data Science Engineer Jobs in Colorado
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Find JobsSenior Data Science Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Senior Data Science Engineer Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Healthcare & Medical Services
What Colorado Employers Look For
The qualifications that appear most often in senior data science engineer jobs across Colorado.
- Bachelor's or master's degree in computer science, statistics, or a closely related quantitative field
- Five or more years of experience building and deploying machine learning models in production environments
- Advanced proficiency in Python and SQL with strong command of frameworks such as TensorFlow or PyTorch
- Demonstrated experience designing and maintaining scalable data pipelines and cloud infrastructure on AWS, GCP, or Azure
- Ability to lead cross-functional projects and mentor junior data scientists and engineers
- Experience communicating complex analytical findings to non-technical stakeholders and executive audiences
Senior Data Science Engineer Jobs in Colorado: Frequently Asked Questions
How do you become a senior data science engineer in Colorado?
Becoming a senior data science engineer in Colorado does not require a state-issued license, but most employers expect a bachelor's degree in computer science, mathematics, or a related field, with a master's degree preferred for senior roles. Candidates typically build several years of experience in data engineering or machine learning before advancing. Colorado's strong university pipeline through CU Boulder, Colorado State University, and the University of Denver produces graduates who often move into mid-level roles before stepping into senior positions.
How much do senior data science engineers make in Colorado?
Senior data science engineers in Colorado earn a median of about $117,400 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $74,470 for the lowest 10% to over $189,630 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior data science engineers in Colorado?
Companies currently hiring senior data science engineers in Colorado include DaVita, Gusto, and Ibotta, per current listings on Migrate Mate as of October 2026. Colorado's mix of aerospace and defense contractors, financial technology firms, and healthcare analytics companies means senior data science engineers are recruited across a broad range of industries beyond pure technology.
Which Colorado cities have the most senior data science engineer jobs?
Denver, Aurora, and Boulder have the most senior data science engineer openings in Colorado. Denver's dense concentration of financial services, energy, and technology companies drives the majority of postings, while Boulder's startup and research ecosystem anchors strong demand there, and Colorado Springs attracts roles tied to the area's significant defense and government contracting presence.
Are there remote senior data science engineer jobs in Colorado?
Yes, and more than most fields, because senior data science engineering work is primarily analytical and code-based, making it well suited to distributed teams. About 100% of senior data science engineer openings tied to Colorado are remote or hybrid as of October 2026, reflecting the role's compatibility with flexible arrangements. Model research, pipeline development, and experimentation work are the most consistently remote parts of the job.
How can I get hired as a senior data science engineer in Colorado with little or no experience?
The most realistic path is starting as a data analyst or junior data engineer and building toward the senior level through project ownership and demonstrated impact. Large Colorado employers like Lockheed Martin, DaVita, and Centura Health regularly bring in associate or entry-level data professionals and develop them internally. Completing graduate coursework or a professional certification in machine learning, contributing to open-source projects, and building a portfolio of end-to-end models gives candidates from adjacent roles a meaningful edge when applying for junior data science positions that lead upward.
Where can I find and apply to senior data science engineer jobs in Colorado?
You can find and apply to senior data science engineer jobs in Colorado on Migrate Mate, which lists current Colorado openings updated regularly. Search the listings to find roles that match your specialization and experience level, then apply directly to the ones that fit. No sign-up is required to view or apply to the openings on the page.
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