Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Intern, Data Science

Job

Goodwill Industries of Denver

Colorado Springs, CO (In Person)

$52,000 Salary, Full-Time

Posted 2 weeks ago (Updated 4 days ago) • Actively hiring

Expires 7/21/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
84
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

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. 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. 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. G uide 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.