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Data Science Intern Jobs in Colorado (NOW HIRING)

My Goodwill

Intern, Data Science

Colorado Springs, CO · On-site

$23 - $27/hr

Goodwill of Colorado, a $220 Million social enterprise and Human Services organization, is seeking an Internship (Intern), Data Science to support a high-impact analytics initiative focused on ...

New

US Department of the Air Force

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of the Air Force

DATA SCIENTIST

Aurora, CO · On-site

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of the Air Force

CO · On-site

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Master's or PhD in Data Science, Statistics, or related field. * 5-8 years of data science experience. * Expertise in Python, SQL, and machine learning frameworks. * Strong analytical and ...

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$12

$23

$44

How much do data science intern jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data science intern in Colorado is $23.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $25.77 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Science Intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What are the most commonly searched types of Data Science jobs in Colorado? The most popular types of Data Science jobs in Colorado are:
What are popular job titles related to Data Science Intern jobs in Colorado? For Data Science Intern jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Intern jobs in Colorado look for? The top searched job categories for Data Science Intern jobs in Colorado are:
What cities in Colorado are hiring for Data Science Intern jobs? Cities in Colorado with the most Data Science Intern job openings:
Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Colorado as of June 2026, with employment types broken down into 14% Internship, 57% Full Time, 24% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $49,221 per year, or $23.7 per hour.

Intern, Data Science

My Goodwill

Colorado Springs, CO • On-site

$23 - $27/hr

Full-time

Retirement

Posted 2 days ago

Job description

Applications due by June 15, 2026
Goodwill of Colorado
Job Description
Pay: $23.00 - $27.00 / hour
This position is eligible for Daily Pay! Work today, get paid today! We've partnered with DailyPay, a voluntary benefit to offer employees access to their pay on their own schedule.
Work Schedule: Full-Time; 30-40 hours per week; 6-8 hours per day; Monday - Friday
This position is eligible for Paid Sick and Safe Time (PSST) under the Healthy Families and Workplaces Act. All employees may also make pre-tax or post-tax (Roth) contributions to our retirement plan - must be 18 years of age to participate.
JOB SUMMARY:
Goodwill of Colorado, a $220 Million social enterprise and Human Services organization, is seeking an Internship (Intern), Data Science to support a high-impact analytics initiative focused on understanding and modeling Retail margin drivers across our donated goods business. This role will work at the intersection of data, operations, and mission, helping to translate complex Retail dynamics into actionable insights that directly support Goodwill's mission. The Intern will contribute to the design and development of a data-driven model that explains and predicts margin performance across stores, categories, and operational levers.
ESSENTIAL FUNCTIONS:
  • Conduct exploratory data analysis to identify candidate margin drivers across pricing, inventory mix, sell through, labor, donation flow, and store operations, using historical data.
  • Build predictive analytical models to assess:
    • Which drivers materially impact margin - X variables that truly move the Y variable.
    • The direction of impact (positive/negative).
    • Non linear effects, inflection points, and diminishing returns.
  • Refine the models based on testing and comparison, considering alternative approaches, and input from key stakeholders. Document assumptions and limitations for the models.
  • Partner with Retail, Finance, Information Technology (IT), and Operations stakeholders to translate business questions into analytical approaches.
  • Clearly communicate findings suitable for business discussion without over-focusing on the underlying mathematical basis.
  • The Intern may occasionally be assigned other duties to support the company.

Example Scope of Work
  • Deconstruct store level margin for a single store, then expand to multiple stores. Alternatively, start at company-level and drill down to individual store.
  • Analyze impact of specific variables such as price/markdown, donation supply, etc.
  • Model margin optimization at a product category level.

QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education:
Required:
  • Current undergraduate or graduate student in Data Science, Statistics, or related field.
  • Strong analytical reasoning and quantitative analysis skills.
  • Experience with Python or R for data analysis.
  • Familiarity with regression, exploratory analysis, and basic modeling techniques.
  • Ability to explain analytical findings and modeling concepts to business stakeholders.
  • The majority of the work is required to be on site at our Colorado Springs campus.

Preferred:
  • Coursework or experience in non-linear modeling or causal inference concepts.
  • Experience with SQL and reporting tools.
  • Interest in social justice and impact, mission driven organizations, or public service.
  • Stamina and aptitude for test-learn-refine work.

Internship Outcomes:
  • Hands-on experience conducting exploratory analysis and solving real business problems.
  • A portfolio quality project demonstrating how data science informs strategic decision making. Inclusion in an Intern's portfolio will be subject to approval of wording, content, and logo approval by Goodwill of Colorado.
  • Exposure to how analytical insight is translated into operational guidance.
  • Mentorship from leaders working at the intersection of data, strategy and mission.

Other Requirements for Employment:
  • Non-disclosure agreement will be executed between Intern and Goodwill of Colorado.
  • Work product of selected candidate will be owned and controlled solely by Goodwill of Colorado
  • Successful completion of the project will result in a reference letter and the opportunity to include an approved statement to enter in the Intern's portfolio of work.

Goodwill is an Equal Opportunity Employer dedicated to employing qualified individuals including those with disabilities, protected veterans and military spouses.
Goodwill participates in E-Verify. For more information on E-Verify, please contact DHS: 888-897-7781 or www.dhs.gov/E-Verify.
We promote a Safe & Drug-free Workplace.
Physical Requirements
Attachment to Job Description
Job Title: 177 - Intern, Data Science Dept Number: 9000
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Guide to Physical Requirements:
  • Continuously (5-8 hours)
  • Frequently (3-4 hours)
  • Occasionally (1-2 hours)
  • Never

LIFTING: (as defined by ADA)
Heavy: 45 lbs & over - NEVER
Moderate: 15-44 lbs - NEVER
Light: 14 lbs & under - OCCASIONALLY
CARRYING:
Heavy: 45 lbs & over - NEVER
Moderate: 15-44 lbs - NEVER
Light: 14 lbs & under - OCCASIONALLY
PUSHING/PULLING - OCCASIONALLY
REACHING:
Above Shoulder - OCCASIONALLY
At Shoulder - OCCASIONALLY
Below Shoulder - OCCASIONALLY
TWISTING - OCCASIONALLY
BENDING - OCCASIONALLY
KNEELING/CRAWLING - OCCASIONALLY
SQUAT - OCCASIONALLY
CLIMBING:
Use of legs only (stairs) - OCCASIONALLY
Use of arms & legs (ladders) - NEVER
HEARING - CONTINUOUSLY
VISION:
Visual, close - CONTINUOUSLY
Visual, distant - CONTINUOUSLY
Visual, depth perception - CONTINUOUSLY
HANDS/FINGERS:
Simple grasping - CONTINUOUSLY
Fine Manipulation - CONTINUOUSLY
Repetitive Movements - CONTINUOUSLY
WALKING - OCCASIONALLY
STANDING - OCCASIONALLY
SITTING - CONTINUOUSLY
SPEAKING - CONTINUOUSLY
OTHER, please describe -
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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