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Data Science Associate Jobs in Colorado (NOW HIRING)

Cliftonlarsonallen

Data Analyst Senior

Denver, CO · On-site +1

$88K - $111K/yr

In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our ...

Pwc

Data Engineer - Senior Manager

Denver, CO

$124K - $280K/yr

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

KPMG

Associate, AI Engineer

Denver, CO · On-site +1

KPMG is currently seeking an Associate, AI Engineer to join our Consulting practice ... Bachelor's degree from an accredited college or university in computer science, data science ...

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Data Science Associate information

See Colorado salary details

$60.5K

$71.5K

$135.6K

How much do data science associate jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data science associate in Colorado is $71,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $62,600.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

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 Associate jobs in Colorado? For Data Science Associate jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Colorado look for? The top searched job categories for Data Science Associate jobs in Colorado are:
What cities in Colorado are hiring for Data Science Associate jobs? Cities in Colorado with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $71,544 per year, or $34.4 per hour.
Data Analyst Senior

Data Analyst Senior

Cliftonlarsonallen

Denver, CO • On-site, Remote

$88K - $111K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago

CliftonLarsonAllen rating

7.4

Company rating: 7.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

15th of 17 rated bookkeepers and accountants

Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

About the role:

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite tools are the Power Platform (Power Apps/Power BI/Power Automate), Excel, DAX, M, R, and Alteryx. In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As a Data Analyst Senior, you will:

Service Specialization: Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities. Gain exposure to a variety of client situations to develop business skills. Retain knowledge gained and performance feedback provided to transfer into future work. Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions.

Data Analysis: Participate in the collection and analysis of data using a variety of data tools. Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Data Development: Working under the guidance of Data Analytics team leaders to develop custom data models and algorithms to apply to data sets. Develop predictive analytics, machine learning, and artificial intelligence techniques. Use existing processes and tools to monitor and analyze solution performance and accuracy and communicate findings to team members.

Collaboration: Work individually as well as in collaboration with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices. Take on additional roles beyond technical development and client service that may include: serving as primary contact with clients or business leaders on internal projects, take on administrative tasks, perform support roles, and get involved in new business development.

What you will need:

Experience

Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree. Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred.

Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view compensation as an investment in our people. Factors such as geography, experience, education, skills, and knowledge may impact position of pay within the range. These same factors may cause starting pay to be below or above the posted range.

Posting Ranges:

  • Denver: $104,000 - $150,000
  • Minneapolis: $99,000 - $145,000
  • Sacramento: $107,000 - $155,000

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.


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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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