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Data Science R Jobs in Denver, CO (NOW HIRING)

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools ... Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools ... Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ...

Data Analyst Senior

Denver, CO · On-site

$88K - $111K/yr

... language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our ...

Decision Scientist

Denver, CO · On-site

$89K/yr

Bachelor's degree in analytics/mathematics/statistics/data science/computer science/economics ... Experience using modern data analysis tools (such as R, Python, Hive/Presto, Pyspark) preferred

Data Analyst Senior

Denver, CO · On-site +1

$88K - $111K/yr

... language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our ...

Python/R Developer

Boulder, CO · On-site

$53.75 - $69.50/hr

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science ...

Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics ... Proficiency in Python (or R) for data analysis, including experience with the PyData stack (NumPy ...

Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics ... Proficiency in Python (or R) for data analysis, including experience with the PyData stack (NumPy ...

Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics ... Proficiency in Python (or R) for data analysis, including experience with the PyData stack (NumPy ...

Bachelor's degree in Engineering, Computer Science, Data Science, Finance, Mathematics, or a ... Experience with Python or R for analytics and automation. * Experience with Microsoft Power ...

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Data Science R information

See Denver, CO salary details

$38.6K

$126.3K

$202.3K

How much do data science r jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data science r in Denver, CO is $126,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $140,000.00 per year, depending on experience, location, and employer.

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Science R jobs in Denver, CO? The most popular types of Data Science R jobs in Denver, CO are:
What are popular job titles related to Data Science R jobs in Denver, CO? For Data Science R jobs in Denver, CO, the most frequently searched job titles are:
What cities near Denver, CO are hiring for Data Science R jobs? Cities near Denver, CO with the most Data Science R job openings:

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Koniag Professional Services, LLC, a Koniag Government Services company, is seeking a Data Analyst to support KPS and our government customer in Denver, CO. This position requires the candidate to be able to obtain a Public Trust. This position is for a Future New Business Opportunity.   

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more

The Data Analyst will collect, analyze, and report on program data to identify trends, support decision-making, and drive process improvements. Core responsibilities include data quality oversight, system maintenance, and conducting quantitative and qualitative analyses to develop reports, visualizations, and data-driven insights for federal staff and program leadership. This is an ONSITE position required to be performed at the Denver office locations, with telework available upon approval.

Essential Functions, Responsibilities & Duties may include, but are not limited to:

  • Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight.
  • Conduct both basic and complex statistical analyses to identify trends, patterns, and actionable insights across federal grant programs.
  • Perform longitudinal data analysis, including Program Information Report (PIR) analysis, and develop high-quality written reports explaining the results of data compilation and analysis activities.
  • Prepare management information reports on a periodic, cyclical, or ad-hoc basis to support program leadership and decision-making.
  • Identify and resolve reporting anomalies and data quality issues to ensure the integrity of program data.
  • Create data-driven presentations for management meetings, conferences, and leadership briefings.
  • Support congressional reporting and respond to other high-priority data requests in a timely and accurate manner.
  • Conduct trend analysis and comparative assessments across programs and regions to identify opportunities for program improvement.
  • Conduct qualitative analysis of grant applications, budgets, intake forms, and other grant-related documents.
  • Review documentation to identify errors, missing information, or required follow-up actions and communicate findings appropriately.
  • Analyze correspondence and communications between the federal government and grant recipients to identify themes and patterns in textual data.
  • Leverage AI tools appropriately while adhering to federal policies, including approved AI platforms.
  • Synthesize qualitative findings into actionable recommendations for program staff and leadership.
  • Develop compelling data stories that communicate complex insights to diverse audiences, including both technical and non-technical stakeholders.
  • Create executive summaries and briefing materials for leadership, including materials for state conferences and internal decision-making support.
  • Design and deliver oral presentations with support materials to a variety of audiences.
  • Generate crosstabs, detailed analytical tables, and data visualizations to support reporting needs.
  • Translate complex data findings into clear, actionable recommendations that drive program improvements.

 

Position Requirements:

Education:

  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an accredited college or university.

 

Required Experience:

  • A minimum of 3 years of relevant post-baccalaureate professional experience directly related to data analysis.

Required Skills and Competencies:

  • Strong analytical and critical-thinking skills with the ability to work independently and collaboratively in a team environment.
  • Demonstrated ability to aggregate, analyze, and present data from multiple sources in a clear and meaningful way.
  • Experience with methodology or implementation of AI application tools (GitHub, R, Qualtrics, Tableau, or Power BI), ArcGIS
  • Experience reporting analytical findings to diverse audiences, including both technical and non-technical stakeholders.
  • Experience with Excel, Python, R, and preferably Smartsheet
  • Experience working with data layers and data infrastructure to support analytical and reporting activities.
  • Experience with qualitative data analysis methodologies, including identifying themes and patterns in textual data.
  • Proven ability to manage multiple analytical projects simultaneously and meet deadlines in a fast-paced environment.
  • Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint) and web-based collaboration tools.
  • Professional communication skills, both written and oral, include the ability to produce high-quality written reports and deliver oral presentations.

Travel Requirements: 

  • Contractor personnel are required to travel within and outside the Region during the performance of this contract to conduct site visits, attend meetings, conferences, and training 

Additional Requirements: 

  • U.S. citizenship or legal authorization to work in the United States 
  • Ability to obtain and maintain a Public Trust security clearance 
  • Ability to pass required background investigations for access to federal facilities and systems 
  • Ability to work independently and collaboratively in a team environment 
  • Ability to maintain confidentiality and handle sensitive information appropriately 
  • Willingness to complete mandatory training requirements 

Security Clearance: 

  • Ability to obtain and maintain a Public Trust security clearance 

 

Desired Skills and Competencies:

  • Experience working with federal grant programs, particularly in data analysis or program oversight capacity.
  • Knowledge of Head Start or similar early childhood education programs.
  • SQL, GIS, Data Visualizations, Survey Methodology or Implementation, application of AI
  • Knowledge of survey methodology or survey implementation practices.
  • Experience with AI tools and platforms, including GitHub and Qualtrics, in compliance with applicable federal policies.
  • Familiarity with web-based data quality and collaboration tools.

 

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352