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Data Science Jobs in Colorado (NOW HIRING)

Ibotta, Inc

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning ...

New

Judge Group, Inc.

Data Science Engineer

Westminster, CO · On-site

$100K - $140K/yr

Our client is currently seeking a Data Science Engineer Location : Onsite in Westminster, CO Salary Range : $90K-$110K About the Role Our client is an innovative and mission-focused organization ...

Apogee Engineering, LLC

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 ...

bet365

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

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 ...

bet365

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

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 ...

bet365

Data Science Team Leader

Denver, CO · On-site

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 ...

ZR Sandbox

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 ...

Talent Navigation Experts

Data Scientist

Denver, CO · Hybrid

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 ...

Talent Navigation Experts

Data Scientist

Denver, CO · On-site

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 ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO

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 ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO

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 ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO

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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All JobsData Science JobsData Science Jobs in Colorado

Data Science information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do data science jobs pay per year?

As of Aug 5, 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 a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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.

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 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 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.
More about Data Science jobs
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 are popular job titles related to Data Science jobs in Colorado? For Data Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Colorado look for? The top searched job categories for 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:
Data Science jobs near you
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, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

Manager, Data Science

Ibotta, Inc

Denver, CO • On-site

$158K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New

Job description

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning, data analytics, and statistical modeling for internal and external partners. The ideal candidate will have experience developing and deploying models into production, the desire to serve as a leader and manager across the department, ability to evangelize data science, and willingness to provide descriptive analyses. You will also be responsible for working closely with cross-functional leaders to define and execute on Ibotta's growth strategy.
This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.
What you'll be doing:
  • Work with cross functional leadership to understand business needs and prioritize the most impactful analytical projects to drive business decisions and growth
  • Build and retain a team of highly motivated data scientists
  • Confidently speak with internal and external stakeholders about foundational models and project deliverables
  • Establish automated processes to scale insights across Ibotta
  • Balance the management of core data & analytics deliverables
  • Serve as a leader across the department, bringing operational and culture building best practices
  • Research industry trends and standards to stay abreast of new developments and proactively suggest areas of improvement
  • Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere

What we're looking for:
  • 5+ years of experience in a measurement-driven function with experience working directly with leadership
  • 2+ years of management experience
  • Bachelor's degree in computer science, data analytics, computer engineering, information systems required
  • Experience hiring, leading, developing, and retaining talent
  • Demonstrated analytical ability, conceptual thinking, and problem-solving skills. Experience in media measurement is strongly preferred
  • Strong written and verbal communication skills, able to distill complex analytical solutions into actionable insights
  • Excellent interpersonal skills with the proven ability to collaborate across functional areas
  • Curiosity and the commitment to continually ask questions of our data and business
  • Excels in a fast-paced environment with the capability to prioritize effectively
  • Industry experience causal inference, regression, A/B, ML, and/or advanced statistical modeling to build predictive and prescriptive models
  • Experience using modern data analysis tools (SQL, Python, etc.) and data visualization tools (Looker, Tableau, Mode)

Additional Details:
  • This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals.
  • Base compensation range: $158,000 - $185,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Total compensation for this role also includes a variable component in addition to base salary.
  • Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
  • Applicants must be currently authorized to work in the United States on a full-time basis.
  • For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.

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