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

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

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 ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

Data Scientist - Mid

Denver, CO ยท 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 ...

Senior Data Scientist

Denver, CO ยท On-site

$82K - $172K/yr

... science, analytics, or related engineering experience. * Expert proficiency in Python (or R) for data manipulation, modeling, and analysis. * Experience developing and deploying machine learning ...

Data Scientist

Denver, CO ยท 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 ...

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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 Jul 27, 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 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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 77% In-person, 8% Hybrid, and 15% Remote job distribution, with an average salary of $127,993 per year, or $61.5 per hour.

Manager, Data Science

Product and Technology

Greenwood Village, CO โ€ข On-site

$98K - $175K/yr

Full-time

Posted 5 days ago


Job description

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Have you ever wondered how advanced analytics can transform business decisions and drive meaningful outcomes? As Manager, Data Science at Spectrum, youโ€™ll lead a talented team using sophisticated techniques to uncover insights, predict trends, and recommend improvements across our operations. Your expertise will guide actionable strategies that enhance customer experiences and shape the future of our business.


How Youโ€™ll Make an Impactย 

  • Lead the analytics lifecycle by supervising, developing, and coaching a high-performing team to deliver actionable insights
  • Apply advanced analytic techniques to create causal inferences, predictions, and recommendations for business process improvements
  • Survey and manage varied data sources including relational databases, Hadoop, flat files, and external sources for analytic relevance
  • Execute data profiling, pre-processing, and exploratory analysis to ensure robust data preparation and modeling
  • Formulate problems, analyze requirements, plan projects, and select appropriate algorithms for execution
  • Interpret model results, communicate findings, and present recommendations to audiences with varying analytical backgrounds
  • Manage follow-ups and execution of suggested actions to ensure measurable improvements

Working Conditions

  • Office environment
  • Travel as required

What Youโ€™ll Bring to Spectrumย 

Required Qualificationsย 

Education

  • Bachelorโ€™s degree in computer science, mathematics, statistics, operations research or other quantitatively-focused field

Experienceย 

  • 6+ years statistical analysis
  • 3+ years business analysis
  • 3+ years SQL, R, or SAS programming
  • 2+ years internal client relationship management
  • Experience with R and/or Python, including relevant packages, supporting advanced analytics
  • Experience with relational databases using SQL and data stored in complex schemas
  • Some experience in telecommunications or two other consumer-based industries


Skillsย 

  • Ability toย read, write, speak and understand Englishย 
  • Strong logical and analytical skills
  • Solid theoretical foundation in modeling processes with various algorithms
  • Proficient in data profiling, distributions, confidence intervals, hypothesis testing
  • Skilled in holdout testing and cross-validation
    Advanced data pre-processing and exploratory data analysis
  • Regression and classification using linear models, GLMs, and tree-based methods
  • Interpretation of model results including causality and multicollinearity
  • Effective synthesis and presentation skills
  • Basic understanding of data architecture, data warehouse, and data marts

Preferred Qualifications

Education

  • Bachelorโ€™s degree in computer science, mathematics, statistics, operations research or other quantitatively-focused field

Experience

  • 2+ years management or leadership experience

Skills

  • Experience with Teradata SQL, UDFs, interpreting explain plans, performance tuning, and database catalog
  • Operations-research expertise, especially in large labor operations such as field ops, technical support, and sales
  • Background with Cable systems and operations
  • Experience with Hadoop, especially HIVE and Spark
  • Familiarity with SAS, SPSS, Alteryx, Linux
  • Knowledge of text analysis and text mining
  • Familiarity with open-source ecosystems for R, Python, and Hadoop

#LI-KB2
BDA526 2026-76069 2026
Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
This job posting will remain open until 2026-07-26 04:38 PM (UTC) and will be extended if necessary.
The base pay for this position generally is between $98,900.00 and $175,300.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.
Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.

Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Qualifications:

What Youโ€™ll Bring to Spectrumย 

Required Qualificationsย 

Education

  • Bachelorโ€™s degree in computer science, mathematics, statistics, operations research or other quantitatively-focused field

Experienceย 

  • 6+ years statistical analysis
  • 3+ years business analysis
  • 3+ years SQL, R, or SAS programming
  • 2+ years internal client relationship management
  • Experience with R and/or Python, including relevant packages, supporting advanced analytics
  • Experience with relational databases using SQL and data stored in complex schemas
  • Some experience in telecommunications or two other consumer-based industries


Skillsย 

  • Ability toย read, write, speak and understand Englishย 
  • Strong logical and analytical skills
  • Solid theoretical foundation in modeling processes with various algorithms
  • Proficient in data profiling, distributions, confidence intervals, hypothesis testing
  • Skilled in holdout testing and cross-validation
    Advanced data pre-processing and exploratory data analysis
  • Regression and classification using linear models, GLMs, and tree-based methods
  • Interpretation of model results including causality and multicollinearity
  • Effective synthesis and presentation skills
  • Basic understanding of data architecture, data warehouse, and data marts

Preferred Qualifications

Education

  • Bachelorโ€™s degree in computer science, mathematics, statistics, operations research or other quantitatively-focused field

Experience

  • 2+ years management or leadership experience

Skills

  • Experience with Teradata SQL, UDFs, interpreting explain plans, performance tuning, and database catalog
  • Operations-research expertise, especially in large labor operations such as field ops, technical support, and sales
  • Background with Cable systems and operations
  • Experience with Hadoop, especially HIVE and Spark
  • Familiarity with SAS, SPSS, Alteryx, Linux
  • Knowledge of text analysis and text mining
  • Familiarity with open-source ecosystems for R, Python, and Hadoop
Employment Type: Full Time