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Executive Data Scientist Jobs in Colorado (NOW HIRING)

Capital Rx

Data Scientist

Denver, CO · On-site

$96K - $121K/yr

The Data Scientist will analyze complex data using statistical analysis, programming, and data ... Translate complex analyses into clear recommendations for technical, executive, and non-technical ...

AArete

Data Scientist

Denver, CO · On-site

Description Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're ... ambiguity, and delivering executive-ready recommendations * AWS AI or machine learning ...

AArete

Data Scientist

Denver, CO · On-site

Description Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're ... ambiguity, and delivering executive-ready recommendations * AWS AI or machine learning ...

Office of Inspector General

Data Scientist

Lakewood, CO · On-site +1

$108K - $158K/yr

... Data Scientist for our Cyber and Data Analytics team in the Office of Investigations. We are ... Executive Branch, you must disclose this information to the HR Office. Failure to disclose this ...

Hercules Industries, Inc.

Data Scientist

Denver, CO · On-site

$98K - $113K/yr

VALUE IDENTIFICATION & PROBLEM FRAMING • Partner with executive and functional leaders to ... in data science, Statistics, Mathematics, Engineering, Economics, or related field (Master ...

Hercules Industries, Inc.

Data Scientist

Denver, CO · On-site

$98K - $113K/yr

VALUE IDENTIFICATION & PROBLEM FRAMING · Partner with executive and functional leaders to identify ... in data science, Statistics, Mathematics, Engineering, Economics, or related field (Master ...

Hercules Industries, Inc.

Data Scientist

Denver, CO · On-site

$98K - $113K/yr

VALUE IDENTIFICATION & PROBLEM FRAMING · Partner with executive and functional leaders to identify ... in data science, Statistics, Mathematics, Engineering, Economics, or related field (Master ...

US Bank

Data Scientist

Denver, CO · On-site

$111K - $131K/yr

Develop dashboards, KPIs, data visualizations, and executive reporting solutions for operational ... science, engineering or applied mathematics, or equivalent work experience - Six to eight years of ...

Evolve Vacation Rental

Staff Data Scientist

Denver, CO · On-site

We're hiring a hands-on Staff Data Scientist with applied ML engineering depth to lead the highest ... business, and executive audiences. * A self-directed, collaborative working style: you can ...

EchoStar

Data Scientist II, AI Analytics

Denver, CO · On-site

$100K - $136K/yr

As a Data Scientist in AI Analytics, you will design sophisticated analytical frameworks and ... Translate complex findings into clear narratives and interactive dashboards that guide executive ...

EchoStar

Data Scientist II, AI Analytics

Denver, CO · On-site

$100K - $136K/yr

As a Data Scientist in AI Analytics, you will design sophisticated analytical frameworks and ... Translate complex findings into clear narratives and interactive dashboards that guide executive ...

EchoStar

Data Scientist II, AI Analytics

Denver, CO · On-site

$100K - $136K/yr

As a Data Scientist in AI Analytics, you will design sophisticated analytical frameworks and ... Translate complex findings into clear narratives and interactive dashboards that guide executive ...

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All JobsData Scientist JobsExecutive Data Scientist JobsExecutive Data Scientist Jobs in Colorado

Executive Data Scientist information

See Colorado salary details

$48.4K

$173.5K

$256K

How much do executive data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for executive data scientist in Colorado is $173,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,400.00 and $178,800.00 per year, depending on experience, location, and employer.

What is an executive data scientist?

An Executive Data Scientist is a senior-level professional who leads data science initiatives within an organization. They are responsible for setting strategic direction, overseeing large-scale data projects, and bridging the gap between technical data teams and business leadership. Their role involves not only advanced analytics and modeling but also communicating insights to stakeholders and ensuring data-driven decisions align with business goals. Executive Data Scientists often manage teams, influence company data strategy, and play a key role in driving innovation and digital transformation.

How does an executive data scientist typically collaborate with leadership and cross-functional teams?

Executive Data Scientists play a strategic role by bridging the gap between data science teams and organizational leadership. They regularly translate complex analytical insights into actionable business recommendations for executives, and work closely with stakeholders across departments such as IT, marketing, and operations. This collaboration ensures that data-driven initiatives align with business objectives and that projects receive the resources and support needed for success. Effective communication and stakeholder management are key aspects of the role, as is mentoring junior data scientists and fostering a culture of innovation.

What are the key skills and qualifications needed to thrive as an executive data scientist, and why are they important?

To thrive as an Executive Data Scientist, you need advanced expertise in data analytics, machine learning, and statistical modeling, usually backed by a master's or PhD in a quantitative field. Familiarity with big data platforms (like Hadoop or Spark), programming languages (Python, R), and data visualization tools, along with certifications such as Certified Analytics Professional (CAP), is highly valued. Leadership, strategic thinking, and the ability to communicate complex insights to non-technical stakeholders are crucial soft skills for this role. These skills ensure effective data-driven decision-making at the executive level, driving business innovation and competitive advantage.

What is the difference between Executive Data Scientist vs Data Scientist?

AspectExecutive Data ScientistData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic roles, leadership teams, executive meetingsData analysis, model development, technical tasks
Employer & Industry UsageSenior roles in tech, finance, healthcare, and large enterprisesStartups, tech companies, research institutions

Executive Data Scientists focus on strategic decision-making and leadership, often overseeing data teams and aligning data initiatives with business goals. Data Scientists primarily handle technical data analysis, modeling, and insights generation. While both roles require strong analytical skills, Executive Data Scientists combine technical expertise with leadership and strategic planning, making them suitable for senior management positions.

What are the most commonly searched types of Data Scientist jobs in Colorado?

The most popular types of Data Scientist jobs in Colorado are:

What are popular job titles related to Executive Data Scientist jobs in Colorado?

For Executive Data Scientist jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Executive Data Scientist jobs in Colorado look for?

The top searched job categories for Executive Data Scientist jobs in Colorado are:

Executive Data Scientist jobs near you

Data Scientist

Capital Rx

Denver, CO • On-site

$96K - $121K/yr

Other

This job post has expired today. Applications are no longer accepted.

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.

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