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Data Science R Jobs in Castle Rock, CO (NOW HIRING)

Develop and automate analytic workflows using Python, R, and related data science tools to accelerate data discovery, processing, and analysis. Apply statistical and quantitative techniques including ...

Senior Data Scientist

Centennial, CO · On-site

$102K - $179K/yr

Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies. Experience with end-to-end data science workflows, including data preparation ...

Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies. * Experience with end-to-end data science workflows, including data preparation ...

Data Scientist - Aurora, CO

Aurora, CO · On-site

$100K - $210K/yr

Proficient in Python, R, Matlab, Lua, or other data science-centric programming language. * Mathematical knowledge of optimization, multi-variate calculus, probability amp; statistics, linear algebra ...

... science workflows, including data preparation, feature engineering, model development, validation, deployment, and visualization. * Proficiency in programming and analytical tools such as Python, R ...

Senior Data Scientist

Centennial, CO · On-site

$102K - $179K/yr

... science workflows, including data preparation, feature engineering, model development, validation, deployment, and visualization. Proficiency in programming and analytical tools such as Python, R ...

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

... science or analytics experience. Proficiency in Python (or R) and SQL for data manipulation and analysis. Experience applying statistical analysis, classification, regression, or clustering ...

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

... science or analytics experience. * Proficiency in Python (or R) and SQL for data manipulation and analysis. * Experience applying statistical analysis, classification, regression, or clustering ...

Data Scientist

Denver, CO · On-site

$96K - $121K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or equivalent experience * 4+ years of experience with programming languages, like Python or R ...

Data Scientist, Lead

Aurora, CO · On-site

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Experience with the development of algorithms leveraging R, Python, or SQL/NoSQL * Experience with ...

Data Scientist, Lead

Aurora, CO · On-site +1

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Experience with the development of algorithms leveraging R, Python, or SQL/NoSQL * Experience with ...

Data Scientist, Lead

Aurora, CO · On-site

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Experience with the development of algorithms leveraging R, Python, or SQL/NoSQL * Experience with ...

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Showing results 1-20

Data Science R information

See Castle Rock, CO salary details

$39.1K

$128K

$204.9K

How much do data science r jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science r in Castle Rock, CO is $127,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $141,800.00 per year, depending on experience, location, and employer.

What is a Data Science R?

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 does a Data Science R do?

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.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are popular job titles related to Data Science R jobs in Castle Rock, CO?

For Data Science R jobs in Castle Rock, CO, the most frequently searched job titles are:

What job categories do people searching Data Science R jobs in Castle Rock, CO look for?

The top searched job categories for Data Science R jobs in Castle Rock, CO are:

What cities near Castle Rock, CO are hiring for Data Science R jobs?

Cities near Castle Rock, CO with the most Data Science R job openings:

Infographic showing various Data Science R job openings in Castle Rock, CO as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,993 per year, or $61.5 per hour.

Data Scientist

CACI

Colorado Springs, CO • On-site

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

Job Title: Data Scientist Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local Anticipated Posting End: There is not an anticipated end date for this posting since applications are needed on an ongoing basis. The Opportunity Join a team dedicated to advancing national security through data-driven insights, advanced analytics, and innovative technology. CACI is seeking Data Scientists at the Journeyman and Senior levels to support a mission-focused program delivering analytical, advisory, and operational capabilities across geographic and functional Combatant Commands.

In this role, you will apply data science, statistical analysis, automation, and emerging technologies to complex operational challenges within the information environment and irregular warfare (IW) mission space. You will work with diverse datasets to identify trends, develop analytical models, measure operational effects, and transform complex information into actionable insights for mission partners and senior decision-makers. This is an opportunity to combine technical data science expertise with real-world national security missions, working alongside intelligence, operations, research, and technology professionals to help address evolving global threats.

Responsibilities Analyze large, complex, and diverse datasets to establish baselines, identify patterns and trends, develop indicators, and support operational decision-making. Develop and automate analytic workflows using Python, R, and related data science tools to accelerate data discovery, processing, and analysis. Apply statistical and quantitative techniques including regression, hypothesis testing, sampling, longitudinal analysis, network analysis, modeling, and reliability/validity assessment.

Develop prototypes, scripts, and analytical tools that improve data collection, processing, integration, visualization, and synthesis. Apply AI/ML and Natural Language Processing (NLP) techniques to structured and unstructured data, including text, survey responses, social media, and operational reporting. Conduct qualitative and mixed-methods analysis using techniques such as thematic coding, classification, sentiment analysis, and NLP-assisted analysis.

Develop dashboards, visualizations, and analytical products that communicate complex findings to operational leaders and mission stakeholders. Integrate analytical findings with intelligence and operational reporting to establish baselines, measure effects, identify emerging trends, and assess OIE/IW activities. Manage and optimize analytical datasets, databases, metadata, and longitudinal data to support repeatable analysis and research.

Apply geospatial analysis and visualization techniques to assess information environment dynamics, geographic patterns, and audience characteristics. Leverage social media and publicly available data using automated collection, analytics, AI/ML, and NLP techniques to evaluate reach, behavior, trends, and operational effects. Support research and assessment design by developing analytical methodologies, data collection strategies, assessment criteria, and measures of performance and effectiveness.

Collaborate with multidisciplinary teams across intelligence, operations, technology, and research functions to translate mission requirements into data-driven analytical solutions. Required Qualifications Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, Economics, or another quantitative or analytical discipline. TS/SCI clearance 3+ years relevant professional experience conducting quantitative, qualitative, statistical, or data science analysis in operational, intelligence, research, or similarly complex environments.

Level will be determined based on education, experience, and demonstrated technical expertise. Proficiency with Python and/or R for statistical analysis, data processing, automation, modeling, or analytical tool development. Experience applying statistical or data science methodologies such as regression, hypothesis testing, sampling, longitudinal analysis, clustering, classification, or predictive modeling.

Experience working with structured, semi-structured, and/or unstructured datasets. Experience developing data visualizations, dashboards, or analytical products that translate complex findings into actionable insights. Experience with data management practices, including maintaining analytical datasets, databases, metadata, or longitudinal data.

Ability to integrate quantitative findings with operational, intelligence, research, or assessment information. Strong analytical and problem-solving skills with the ability to communicate technical findings to both technical and non-technical audiences. Ability to obtain a DoD 8570/8140 IAT Level II certification within 90 days of hire, if required by the position.

Desired Qualifications Prior experience supporting DoD, Intelligence Community (IC), Combatant Command (COCOM), or other national security missions. Experience supporting Operations in the Information Environment (OIE), Irregular Warfare (IW), information operations, intelligence, or operational assessment missions. Experience developing or applying machine learning models, NLP pipelines, generative AI, or other advanced analytics capabilities.

Experience with automated data collection, web scraping, APIs, or social media analytics. Experience with geospatial analysis tools and technologies such as ArcGIS, QGIS, GeoPandas, or other Python geospatial libraries. Experience with data visualization or business intelligence platforms such as Tableau, Power BI, Plotly, or similar tools.

Familiarity with operational assessment frameworks, including Measures of Performance (MOPs), Measures of Effectiveness (MOEs), and Measures of Effectiveness Indicators (MOEIs). Experience with research design, experimental or quasi-experimental methods, survey analysis, or mixed-methods research. Current Security+, CySA+, CCNA Security, or equivalent DoD 8570/8140 certification.

Experience operating in NIPR, SIPR, JWICS, or other classified environments. This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available.

Individuals who apply may also be considered for other positions at CACI. What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do.

As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day.

You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities.

Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is: $82,100-$172,400 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.