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

Averna

Data Analyst

Denver, CO · Remote

Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics ... SQL, Python, R). * Proven experience creating dashboards, reports, and structured datasets to ...

Cliftonlarsonallen

Data Analyst Senior

Denver, CO · On-site +1

$107K - $155K/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 ...

Cymertek

Data Analyst

Aurora, CO · On-site

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

Drive Capital

Senior Data/ML Engineer

Denver, CO · On-site

$120 - $150/hr

Collaborate cross‑functionally with data science, engineering, and product teams * Continuously ... Proficiency in R/Python and SQL * Experience with Databricks and Apache Spark * Experience with ...

New

Modivcare, Inc.

Data Insights Analyst II

Denver, CO · On-site

$67K - $86K/yr

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, Economics, or ... Strong knowledge of Excel and statistical analysis tools such as Python, R, or SAS. * Familiarity ...

US Bank

Senior Data Scientist

Denver, CO · On-site

$132K - $155K/yr

... science, engineering or applied mathematics, or equivalent work experience - Six to eight years of ... R/SAS/SQL for data extraction, data mining, and predictive analytics - Demonstrated project ...

Modivcare, Inc.

Data Insights Analyst II

Denver, CO · On-site

$67K - $86K/yr

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, Economics, or ... Strong knowledge of Excel and statistical analysis tools such as Python, R, or SAS. * Familiarity ...

Ra

Healthcare Analyst

Denver, CO

You are powerful in data science, business reporting, and statistical analysis. * You are proficient in Business Intelligence and Reporting. * You are an expertise with R, SAS, SPSS. * You have ...

Ra

Health Analyst

Denver, CO · On-site

You are powerful in data science, business reporting, and statistical analysis. * You are proficient in Business Intelligence and Reporting. * You are an expertise with R, SAS, SPSS. * You have ...

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Showing results 41-60

All JobsData Science R JobsData Science R Jobs in Castle Rock, CO

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 Aug 8, 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.

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:
Data Science R jobs near you
Infographic showing various Data Science R job openings in Castle Rock, CO as of August 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.

Drilling & Completions Data Analyst II

The Bergaila Companies

Denver, CO • On-site

Contractor

Re-posted 10 days ago

Job description

Exciting Opportunity for Experienced Drilling & Completions Data Analyst II in Denver, CO
Join a dynamic team supporting innovative upstream oil & gas operations in the heart of Denver! We're seeking a skilled Drilling & Completions Data Analyst II to play a pivotal role in transforming complex data into actionable insights. This is your chance to work at the forefront of the energy industry, leveraging your analytical expertise to drive operational efficiency, optimize well delivery, and support strategic decision-making.
In this critical role, you will partner closely with Drilling & Completions, Operations, and Engineering teams to develop robust dashboards, automate processes, and deliver high-quality data solutions that directly impact business outcomes. If you thrive in a fast-paced, data-driven environment and have a passion for oil & gas operations, we want to hear from you!
Required Skills:
  • 3+ years of professional experience as a Data or Business Intelligence Analyst
  • 2+ years of hands-on experience with complex SQL development, including CTEs, subqueries, joins, window functions, and data modeling
  • 2+ years of experience building and managing Power BI and/or Spotfire dashboards
  • Strong understanding of relational databases and data visualization best practices
  • Proficiency in Excel for data analysis
  • Ability to work independently and communicate complex findings effectively

Nice to Have Skills:
  • Knowledge of upstream oil & gas metrics and operations
  • Experience with OpenWells, Landmark, or PPDM-based systems
  • Programming skills in Python or R for advanced analytics
  • Familiarity with Microsoft Power Platform (Power Automate, Power Apps)
  • Experience with cloud platforms such as Azure or AWS
  • Knowledge of data version control (Git, Azure DevOps)

Preferred Education and Experience:
  • Bachelor's Degree in Engineering, Computer Science, Data Science, Finance, or a related field
  • 3+ years supporting operations or engineering teams in a data-centric environment

Other Requirements:
  • Ability to work a hybrid schedule in downtown Denver, CO (Tuesday-Thursday in-office, remainder remote)
  • Experience with drill and completions data, operational KPIs, and asset hierarchies is highly desirable
  • Must have or be willing to obtain relevant certifications as appropriate

Ready to make a measurable impact on upstream operations through your data expertise? Apply now and become an integral part of a forward-thinking team driving innovation in oil & gas!

Apply