ZipRecruiter

Log In

1

Data Science Project Manager Jobs in Colorado (NOW HIRING)

Crocs

Senior Manager, Data Science & AI

Broomfield, CO · On-site +1

Overview Crocs is seeking a Senior Manager, Supply Chain Data Science & AI to lead the development and scaling of AIdriven capabilities across our global supply chain. This role will drive the ...

GRVTY

Data Scientist 3

Colorado Springs, CO

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

$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

$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 ...

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

$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 ...

Holland & Hart

Data Manager

Denver, CO · On-site

Modern Analytics & Data Science: * Manage and advise on the data ingestion process into various ... Manage project priorities, timelines, and resources to ensure the timely delivery of data ...

next page

Showing results 1-20

All 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 Jun 24, 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 the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

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.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,779 per year, or $60.5 per hour.
Data Scientist - Business Intelligence (Decision Science Focus)

Data Scientist - Business Intelligence (Decision Science Focus)

Keysight Technologies, Inc.

Colorado Springs, CO • On-site

$164K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

40th of 139 rated electronics manufacturers

Job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.


Responsibilities
  • Own end-to-end BI solutions, including data modeling, pipelines, semantic layers, and reporting using Microsoft Fabric, Power BI, and Snowflake
  • Design and deliver high-impact dashboards and self-service analytics that serve as the single source of truth for business performance across stakeholders
  • Partner with product managers, finance, and operations as a decision advisor, translating business questions into structured analytical approaches
  • Integrate and analyze data from enterprise systems such as Salesforce, ERP platforms, and other internal and external sources to create unified business views
  • Perform deep-dive analysis to identify drivers of revenue, growth, margin, and product adoption
  • Identify business inflection points, risks, and opportunities, and communicate clear recommendations
  • Define and standardize KPIs, metrics, and data definitions to align teams on a consistent view of performance
  • Improve data quality, governance, and consistency across the BI ecosystem
  • Translate complex analysis into clear, compelling business narratives for technical and non-technical audiences
  • Apply AI and generative AI tools — including AI capabilities within Microsoft Fabric, Power BI, and Snowflake — to accelerate exploratory analysis, surface patterns at scale, and enhance the quality of business narratives delivered to stakeholders

Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or a related field
  • 2–5 years of experience in business intelligence, analytics, or applied data science, with demonstrated ability to independently drive projects and influence stakeholders
  • Advanced proficiency in Power BI, including data modeling, DAX, and dashboard development
  • Experience with modern data platforms such as Microsoft Fabric, Snowflake, Azure Synapse, Databricks, or equivalent
  • Strong SQL skills for complex data extraction, transformation, and integration
  • Solid understanding of data modeling concepts (e.g., star schema, semantic models) and BI architecture best practices
  • Strong business acumen, including understanding of revenue drivers, funnel metrics, customer segmentation, and product performance
  • Ability to translate data into actionable insights and communicate effectively with business stakeholders

Preferred Qualifications

  • Experience with Python for data analysis
  • Familiarity with data pipeline and ETL/ELT tools
  • Experience optimizing large-scale datasets and dashboard performance
  • Experience working with Salesforce or similar CRM systems, including pipeline or funnel analytics
  • Understanding of statistical methods and their application in business contexts
  • Familiarity with AI/ML concepts and tools, including generative AI for analytics workflows; experience building predictive models or applying machine learning to business problems is a plus

Visa sponsorship is not available for this role. 

Most offers will be between the minimum and the midpoint of the Salary Range listed above.

MIN $79,860.00 - MAX $164,830.00

Note: For other locations, pay ranges will vary by region

US Employees may be eligible for the following benefits:

  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)

#LI-MO1

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Qualifications:
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or a related field
  • 2–5 years of experience in business intelligence, analytics, or applied data science, with demonstrated ability to independently drive projects and influence stakeholders
  • Advanced proficiency in Power BI, including data modeling, DAX, and dashboard development
  • Experience with modern data platforms such as Microsoft Fabric, Snowflake, Azure Synapse, Databricks, or equivalent
  • Strong SQL skills for complex data extraction, transformation, and integration
  • Solid understanding of data modeling concepts (e.g., star schema, semantic models) and BI architecture best practices
  • Strong business acumen, including understanding of revenue drivers, funnel metrics, customer segmentation, and product performance
  • Ability to translate data into actionable insights and communicate effectively with business stakeholders

Preferred Qualifications

  • Experience with Python for data analysis
  • Familiarity with data pipeline and ETL/ELT tools
  • Experience optimizing large-scale datasets and dashboard performance
  • Experience working with Salesforce or similar CRM systems, including pipeline or funnel analytics
  • Understanding of statistical methods and their application in business contexts
  • Familiarity with AI/ML concepts and tools, including generative AI for analytics workflows; experience building predictive models or applying machine learning to business problems is a plus

Visa sponsorship is not available for this role. 

Most offers will be between the minimum and the midpoint of the Salary Range listed above.

MIN $79,860.00 - MAX $164,830.00

Note: For other locations, pay ranges will vary by region

US Employees may be eligible for the following benefits:

  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)

#LI-MO1

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

What Keysight Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply