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Internship Data Science R Jobs in Boulder, CO (NOW HIRING)

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

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

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

... science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree Nice If You Have: * Experiencein thedevelopment of algorithms leveraging R ...

Data Scientist, Senior

Aurora, CO · On-site

$99K - $225K/yr

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

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

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

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

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

... Science or a related Field * 1-3 Years of Relevant job experience * SQL Required * R or Python ... Ability to process data objectively and efficiently * Intellectually curious about new data tools ...

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 ...

... data science programming languages, such as Python or R * Experience with version control tools, including git, GitLab, GitHub, or Bitbucket * Experience leveraging mathematics, statistics, and data ...

Computer Scientist, Mid

Aurora, CO · On-site +1

$69K - $158K/yr

You Have: * 3+ years of experience in engineering or analytics * 2+ years of experience using data science programming languages such as Python or R * Experience with version control tools, including ...

Showing results 41-60

Internship Data Science R information

See Boulder, CO salary details

$12

$23

$43

How much do internship data science r jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship data science r in Boulder, CO is $23.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.43 per hour, depending on experience, location, and employer.

What is an internship data science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What types of projects can I expect to work on during an internship data science R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What are the key skills and qualifications needed to thrive as an internship data science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

Lead, Data Scientist - Decision Sciences Identity Team

Starcom Mediavest Group Germany Gmbh

Westminster, CO

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 hours ago


Job description

Company DescriptionJob Description

Epsilon's Decision Sciences Identity (DSI) team seeks a PhD-level Lead Research Scientist to advance the Identity Resolution Platform that powers real-time digital marketing at internet scale. You will contribute to research and development initiatives that expand identity capabilities across Epsilon's marketing businesses, transforming novel ideas into production technologies with measurable business impact.

This role sits at the core of Epsilon's identity platform, tackling complex, ambiguous problems using large-scale data. Working closely with engineering and product teams, you will apply analytical rigor, creativity, and strong computer science fundamentals to develop scalable identity solutions that improve marketing performance for leading brands.

Responsibilities
  • Individually contribute to data science and machine learning R&D projects
  • Use data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems
  • Contribute to projects from early-stage research through development
  • Implement and optimize innovative algorithms in distributed environments
  • Develop an understanding of Epsilon personalization platform and proprietary datasets
  • Participate fully in our collaborative approach to research and applications projects
Qualifications

Qualifications

  • Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, Economics, Physics, Chemistry, Operations Research, or related quantitative field
  • Research experience and coursework in Machine Learning
  • Strong understanding of statistical, analytical, and predictive modeling techniques
  • Strong Python programming skills and experience with data structures, algorithms, and production-quality code development
  • 2+ years of relevant programming experience through academic research, internships, or industry work
  • Ability to code independently without AI as well as effectively leverage AI-assisted development tools
  • Proven ability to design, execute, and deliver research projects
  • Excellent communication and interpersonal skills, including ability to translate complex technical concepts for non-technical audiences
  • Self-motivated, highly organized, and collaborative, with the ability to manage multiple priorities in highly collaborative, team-oriented environments

Additional, But Not Required Skills 

  • Experience with graphs/networks and unsupervised clustering algorithms (community detection on graphs)
  • Experience working with large, complex datasets in research or production environments
  • Experience with distributed computing and large-scale data processing (Spark, Hadoop, Databricks, cloud databases)
  • Experience with cloud platforms and data ecosystems (AWS, S3, Databricks)
  • Proficiency in SQL, Scala, Spark libraries, and advanced database querying
  • Familiarity with LLMs, Generative AI, and agentic frameworks
  • Experience in one or more advanced domains: Community Detection on Graphs, Unsupervised Learning, NLP, Information Retrieval, Mathematical Optimization, Control Theory, Time-Series Analysis, or Causal Inference
  • Ability to partner with business and technical collaborators to deploy algorithms into production platforms
  • Experience translating research innovations into scalable, customer-facing products
  • Additional research experience in computational fields such as data science, AI/ML, statistics, computer science, or graph algorithms

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

Additional Information

When You Join Us, We'll Create Something EPIC TogetherEpsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.

Because You Matter

As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first.  Our benefits encompass a wide range of offerings, including but not limited to the following:  

  • Time to Recharge: Flexible time off (FTO), 15 paid holidays
  • Time to Recover: Paid sick time  
  • Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance  
  • Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling  

Epsilon benefits are subject to eligibility requirements and other terms. 

Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.

#LI-IP1

 Compensation Range: USD $87,100.00 - USD $173,700.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/31/2026.Employment Type: FULL_TIME