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Capital One Data Scientist Jobs in Colorado (NOW HIRING)

Data Scientist

Denver, CO · On-site

$96K - $121K/yr

The Data Scientist will analyze complex data using statistical analysis, programming, and data science techniques to uncover insights that support pharmacy benefit management business decisions and ...

Data Scientist

Denver, CO · On-site

$98K - $113K/yr

... capital, service levels) · Operational efficiency and throughput improvements · Margin expansion ... in data science, Statistics, Mathematics, Engineering, Economics, or related field (Master ...

... capital, service levels) · Operational efficiency and throughput improvements · Margin expansion ... in data science, Statistics, Mathematics, Engineering, Economics, or related field (Master ...

Data Scientist

Denver, CO · On-site

$98K - $113K/yr

... capital, service levels) • Operational efficiency and throughput improvements • Margin ... in data science, Statistics, Mathematics, Engineering, Economics, or related field (Master ...

They are seeking a Data Scientist to join the team full-time to work with other Data Science and ... This enterprise-level arm of one of the largest Oil and Gas companies in the world is working hard ...

They are seeking a Data Scientist to join the team full-time to work with other Data Science and ... This enterprise-level arm of one of the largest Oil and Gas companies in the world is working hard ...

Data Scientist

Boulder, CO · On-site

$100 - $125/hr

MITRE is seeking an Intermediate Data Scientist to help shape how one of the nation's most critical and limited resources, the electromagnetic spectrum, is used to support both economic growth and ...

New

Data Scientist

Aurora, CO · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... The estimate displayed represents the typical salary range for this position and is just one ...

Data Scientist

Aurora, CO · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... The estimate displayed represents the typical salary range for this position and is just one ...

Data Scientist

Aurora, CO · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... The estimate displayed represents the typical salary range for this position and is just one ...

$49K/yr

You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

CO · On-site

$49K/yr

You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

DATA SCIENTIST

Aurora, CO · On-site

$49K/yr

You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

Description Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm with offices in the U.S. and India.

Data Scientist

Aurora, CO · On-site

$125 - $150/hr

Data Scientist LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this position ... Ready to make your next move the best one? Join us and experience the difference. BENEFITS

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Showing results 1-20

Capital One Data Scientist information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do capital one data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for capital one data scientist in Colorado is $129,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

What does a data scientist at Capital One do?

A Data Scientist at Capital One leverages data analysis, machine learning, and statistical modeling to solve business problems and drive innovation in financial products and services. They work with large datasets to uncover insights, build predictive models, and help teams make data-driven decisions. Projects often include fraud detection, credit risk modeling, and customer personalization. Collaboration with engineers, analysts, and business stakeholders is common to ensure solutions are scalable and practical.

How does a data scientist at Capital One typically collaborate with cross-functional teams to drive business outcomes?

Data Scientists at Capital One work closely with cross-functional teams such as product managers, engineers, and business analysts to identify opportunities for leveraging data-driven solutions. They participate in regular meetings to define project goals, share insights from data analysis, and translate complex findings into actionable recommendations. Collaboration is often facilitated through agile methodologies, ensuring that projects align with both technical feasibility and business objectives. This teamwork fosters a dynamic environment where data science directly impacts strategic decisions and customer experiences.

What are the key skills and qualifications needed to thrive as a Capital One data scientist, and why are they important?

To thrive as a Capital One Data Scientist, you need strong analytical skills, proficiency in statistics and machine learning, and typically a degree in a quantitative field such as computer science, math, or engineering. Experience with programming languages like Python or R, data visualization tools, and familiarity with cloud platforms and big data systems are crucial. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you translate complex data insights into actionable business solutions. These skills and qualities are vital for driving data-driven decision-making and delivering impactful results within Capital One's fast-paced, innovative environment.

What cities in Colorado are hiring for Capital One Data Scientist jobs?

Cities in Colorado with the most Capital One Data Scientist job openings:

Infographic showing various Capital One Data Scientist job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

Data Scientist

Capital Rx

Denver, CO • On-site

$96K - $121K/yr

Other

Re-posted 13 days ago


Job description

About Judi Health

Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.

Location: Hybrid (Local to NYC, Denver CO, or Charlotte, NCarea)

Position Summary:

The Data Scientist will analyze complex data using statistical analysis, programming, and data science techniques to uncover insights that support pharmacy benefit management business decisions and identify opportunities where machine learning can be leveraged to best effect for the company. This role requires experience with advanced data retrieval knowledge, exploratory data analysis, and data visualization to translate data into clear, actionable recommendations for technical and non-technical stakeholders. Owns predictive modeling, experimentation, machine learning analytics, and AI-enabled analytics that improve operational efficiency, product performance, and healthcare outcomes.

Position Responsibilities:

  • Lead advanced analytics and machine learning supporting initiatives that drive business and product decisions.
  • Translate complex analyses into clear recommendations for technical, executive, and non-technical stakeholders.
  • Partner with Product, Engineering, Data Engineering, Clinical Operations, Analytics, and business teams to define analytical requirements and success metrics.
  • Design experiments, conduct hypothesis testing, and perform deep-dive analyses to quantify business impact.
  • Build dashboards, visualizations, and reporting that monitor outcomes, data quality, workflow efficiency, and client impact.
  • Develop predictive models and time-savings analyses for prior authorization and operational workflows.
  • Evaluate and responsibly apply AI and machine learning solutions for prior authorization and healthcare operations.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or equivalent experience
  • 4+ years of experience with programming languages, like Python or R
  • 4+ years of experience with complex SQL
  • 3+ years of experience with the pharmacy benefit management domain
  • Experience working with structured, unstructured, or semi-structured data and conducting exploratory analysis, feature engineering, and data quality validation
  • Experience with data wrangling techniques to cleanse data for data science applications
  • Experience building statistical models and hands-on experience evaluating, validating, and monitoring machine learning models
  • Experience designing software including: development life cycle, testing, and version control
  • Proficient in Microsoft Excel, data visualization, dashboarding, and stakeholder-facing analytical storytelling
  • Extremely organized, detail-oriented, and able to easily pivot priorities
  • Ability to work effectively with virtual teams
  • Ability to travel 5-10%

Preferred Qualifications:

  • 3+ years working with pharmacy benefit management prior authorization data
  • 2+ years working with JSON or other data-exchange format tools preferred
  • 3+ years experience presenting analysis to clients and/or executive management preferred
  • 2+ years of experience with ETL or ELT preferred
  • Experience with cloud analytics platforms such as Snowflake, Databricks, Redshift, or similar technologies preferred
  • Experience developing production-ready predictive analytics, AI, or machine learning solutions preferred
New York, NY Salary Range
$96,800—$121,000 USD
Denver, CO Salary Range
$88,800—$111,000 USD
Charlotte, NC Salary Range
$80,800—$101,000 USD

All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found athttps://www.judi.health/legal/privacy-policy.