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Volunteer Political Data Science Jobs (NOW HIRING)

Intern, Data Science

Colorado Springs, CO ยท On-site

$23 - $27/hr

We've partnered with DailyPay, a voluntary benefit to offer employees access to their pay on their ... Current undergraduate or graduate student in Data Science, Statistics, or related field. * Strong ...

New

Principal Data Scientist - CoreAI

Redmond, WA ยท On-site

$188K - $304K/yr

Our Growth and Data Science team spans both Microsoft's Developer Division and AI Foundry. We ... political affiliation, protected veteran or military status, race, ethnicity, religion, sex ...

Sr. Analyst, Data Science

Fort Mill, SC ยท On-site

$85K - $143K/yr

This role is ideal for a data scientist who is equally comfortable writing code, building models ... volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Sr. Analyst, Data Science

Tempe, AZ ยท On-site

$85K - $143K/yr

This role is ideal for a data scientist who is equally comfortable writing code, building models ... volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Sr. Analyst, Data Science

Austin, TX ยท On-site

$85K - $143K/yr

This role is ideal for a data scientist who is equally comfortable writing code, building models ... volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

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Volunteer Political Data Science information

What are Volunteer Political Data Scientists?

Volunteer Political Data Scientists are individuals who use data analysis, statistics, and programming skills to support political campaigns, advocacy groups, or non-profit organizations on a voluntary basis. They help gather, clean, and interpret political data to inform strategies, improve outreach, and measure campaign effectiveness. Their work may include analyzing voter data, creating visualizations, building predictive models, or advising on data-driven decision making. These roles are typically unpaid, but they offer valuable experience and the chance to make a positive impact on causes or elections.

How do Volunteer Political Data Scientists typically collaborate with campaign teams to drive data-driven decision making?

Volunteer Political Data Scientists often work closely with campaign managers, field organizers, and communications teams to translate raw data into actionable insights. They may assist in developing voter targeting models, analyzing survey results, or visualizing demographic trends to inform outreach strategies. Regular communication is essential, as data scientists must explain technical findings in accessible terms and adapt analyses based on the evolving needs of the campaign. This collaborative environment provides opportunities to learn from diverse team members and contribute meaningfully to the campaign's success.

What are the key skills and qualifications needed to thrive as a Volunteer Political Data Scientist, and why are they important?

To thrive as a Volunteer Political Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data analysis, typically supported by a background in data science or related fields. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience with political datasets, is commonly required. Excellent communication, teamwork, and adaptability are crucial soft skills for translating complex data into actionable insights and collaborating with campaign teams. These skills enable accurate, data-driven decision-making that can significantly impact political strategies and outcomes.

What is the difference between Volunteer Political Data Science vs Volunteer Data Analyst?

AspectVolunteer Political Data ScienceVolunteer Data Analyst
Required SkillsData analysis, political science knowledge, statistical toolsData analysis, Excel, basic statistical skills
Work EnvironmentPolitical campaigns, advocacy groups, non-profitsVarious industries including business, healthcare, government
CertificationsStatistical or data analysis certifications, political science backgroundBasic data analysis certifications, no specific political background needed

Volunteer Political Data Science focuses on applying data analysis within political contexts, requiring knowledge of political issues and advanced statistical skills. Volunteer Data Analysts work across diverse sectors with general data skills. While both roles involve data analysis, Volunteer Political Data Science emphasizes political applications, making it more specialized for those interested in politics and campaigns.

More about Volunteer Political Data Science jobs
What cities are hiring for Volunteer Political Data Science jobs? Cities with the most Volunteer Political Data Science job openings:
What are the most commonly searched types of Political Data Science jobs? The most popular types of Political Data Science jobs are:
What states have the most Volunteer Political Data Science jobs? States with the most job openings for Volunteer Political Data Science jobs include:
Infographic showing various Volunteer Political Data Science job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 38% Full Time, 53% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution.

Intern, Data Science

My Goodwill

Colorado Springs, CO โ€ข 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.