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Data Science Jobs in Colorado (NOW HIRING)

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

This role applies data science, statistics, and automation to mission analytics, helping operational and intelligence teams process large, complex datasets and convert them into actionable insights ...

As the Data Science Team Leader, you will be a critical part of our expanding global data organization. You will remain deeply technical and actively involved in writing code, building models, and ...

As the Data Science Team Leader, you will be a critical part of our expanding global data organization. You will remain deeply technical and actively involved in writing code, building models, and ...

As the Data Science Team Leader, you will be a critical part of our expanding global data organization. You will remain deeply technical and actively involved in writing code, building models, and ...

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Master's or PhD in Data Science, Statistics, or related field. * 5-8 years of data science experience. * Expertise in Python, SQL, and machine learning frameworks. * Strong analytical and ...

Data Scientist

Boulder, CO · On-site

$98K - $140K/yr

Based in our Boulder Colorado office, you'll blend traditional data science with a focus on engineered products and industrial goods. Innovate and excel in a dynamic organization committed to ...

Experience supporting the design, development, or deployment of enterprise data science or ... artificial intelligence solutions * Experience applying artificial intelligence, machine learning ...

Qualifications Required Skills: * 5+ years in Data Science. * Strong Python coding/scripting Skills. * AWS CI/CD exposure. * Ability to build models that can drive value of data. Deploy the data into ...

Qualifications Required Skills: * 5+ years in Data Science. * Strong Python coding/scripting Skills. * AWS CI/CD exposure. * Ability to build models that can drive value of data. Deploy the data into ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

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Data Science information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science 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.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Colorado? The most popular types of Data Science jobs in Colorado are:
What cities in Colorado are hiring for Data Science jobs? Cities in Colorado with the most Data Science job openings:
Infographic showing various Data Science job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

Director, Data Science and AI

Publicis Groupe Holdings B.V

Westminster, CO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Overview

Epsilon's Data Science & AI (DSAI) practice within Analytics Services team is seeking a Director of Analytics to lead the delivery of advanced analytics and AI solutions that drive measurable business impact for our clients.

In this role, you will partner closely with analytics consulting, strategy, and client service teams to translate complex business challenges into actionable data science and AI solutions. You will lead global onshore and offshore data science teams to deliver high-impact solutions while ensuring alignment with client objectives.

This role requires strong leadership and the ability to connect business strategy with advanced analytics and AI capabilities within a cross-functional, customer-focused environment.  

Responsibilities
  • Partner with analytics consulting, strategy, and client service teams to translate business needs into data science and AI solutions
  • Collaborate with cross-functional teams to ensure the successful execution of advanced analytics, machine learning and AI solutions for clients
  • Lead onshore and offshore data science teams in delivering end-to-end analytics solutions, including work prioritization, task allocation, and quality assurance of deliverables
  • Drive analytical rigor and procedures in modeling, experimentation (A/B testing, causal inference), and measurement
  • Contribute to initiatives that improve analytics delivery efficiency, including the standardization of methodologies, development of scalable frameworks, and adoption of innovative approaches
  • Communicate insights, recommendations, and business impact clearly to clients and collaborators
Qualifications
  • 10+ years of experience in data science, analytics, or machine learning (marketing analytics experience strongly preferred)
  • Strong expertise in statistical modeling, machine learning, and applied analytics
  • Experience leading onshore and offshore data science teams in a global delivery model
  • Strong understanding of experimentation and measurement (A/B testing, causal inference, multi-channel attribution)
  • Ability to translate complex analytical concepts into clear business recommendations
  • Experience working with large-scale data environments (e.g., Databricks, Spark) is preferred
  • Hands-on coding experience in Python is a plus
  • Familiarity with MLOps and Generative AI / LLM applications is a plus
  • Master's degree in a quantitative field (PhD or MBA a plus)

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

Additional Information

When You Join Us, We'll Create Something EPIC TogetherEpsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.

Because You Matter

As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first.  Our benefits encompass a wide range of offerings, including but not limited to the following:  

  • Time to Recharge: Flexible time off (FTO), 15 paid holidays
  • Time to Recover: Paid sick time  
  • Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance  
  • Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling  

Epsilon benefits are subject to eligibility requirements and other terms. 

Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.

 Compensation Range: USD $169,100.00 - USD $314,000.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/21/2026.Employment Type: FULL_TIME