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Data Science Project Manager Jobs in Colorado (NOW HIRING)

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

We are seeking a Data Scientist to support our NLP project focused on accurate and automatic ... Data Processing: (Data management and curation, data description and visualization, workflow 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 ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

bet365

Data Science Team Leader

Denver, CO

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

bet365

Data Science Team Leader

Denver, CO

$155K - $165K/yr

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

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 ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

HDR

Data Center Project Manager

Denver, CO · On-site

$124K/yr

Our team is looking for a candidate to meet the demands of our client base including Science and ... The Data Center Project Manager will be responsible for leading design teams and projects from ...

HDR

Data Center Project Manager

Denver, CO · On-site

$124K/yr

Our team is looking for a candidate to meet the demands of our client base including Science and ... The Data Center Project Manager will be responsible for leading design teams and projects from ...

HDR

Data Center Project Manager

Denver, CO · On-site

$124K/yr

Our team is looking for a candidate to meet the demands of our client base including Science and ... The Data Center Project Manager will be responsible for leading design teams and projects from ...

Deloitte

Lead AI and Data Science Engineer II

Denver, CO · On-site

$105K - $139K/yr

Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

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All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Colorado

Data Science Project Manager information

See Colorado salary details

$17

$60

$84

How much do data science project manager jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data science project manager in Colorado is $60.47, according to ZipRecruiter salary data. Most workers in this role earn between $52.31 and $70.77 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.
What are popular job titles related to Data Science Project Manager jobs in Colorado? For Data Science Project Manager jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Colorado look for? The top searched job categories for Data Science Project Manager jobs in Colorado are:
What cities in Colorado are hiring for Data Science Project Manager jobs? Cities in Colorado with the most Data Science Project Manager job openings:
Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Colorado as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $125,779 per year, or $60.5 per hour.

Data Scientist 3

GRVTY

Colorado Springs, CO • On-site

Other

Re-posted 27 days ago

Job description

What You'll be Owning:

  • We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have:

  • Active TS/SCI w/ poly
  • Possess 2 or more of the following skill areas:
    • Foundations: (Mathematical, Computational, Statistical)
    • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
    • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
  • Devise strategies for extracting meaning and value from large datasets.
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.
  • Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience
    • Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).  College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

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