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Remote Internship Political Science Jobs in Boston, MA

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

Novoco

LIHTC Development Consultant

Boston, MA · On-site +1

$115K - $155K/yr

Bachelor's degree in Business Administration, Political Science, Public Policy, or a related field ... Remote and hybrid opportunities * Inclusive workplace, providing strong professional growth and ...

Novoco

LIHTC Development Consultant

Andover, MA · On-site +1

$106K - $143K/yr

Bachelor's degree in Business Administration, Political Science, Public Policy, or a related field ... Remote and hybrid opportunities * Inclusive workplace, providing strong professional growth and ...

Amgen

Data Scientist

Cambridge, MA · On-site +1

$114K - $133K/yr

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

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Remote Internship Political Science information

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How much do remote internship political science jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote internship political science in Boston, MA is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.91 per hour, depending on experience, location, and employer.

What is a remote internship in political science?

Remote internships in political science are opportunities for students or recent graduates to gain practical experience in the field of political science while working from a location outside of a traditional office setting. These internships often involve tasks like research, policy analysis, writing briefs, and supporting advocacy efforts, all conducted virtually. Remote internships allow interns to work with political organizations, think tanks, government agencies, or non-profits from anywhere, providing valuable hands-on experience and networking opportunities without the need to relocate.

How do remote political science interns typically collaborate with their supervisors and teams?

Remote political science interns often use digital tools like email, video calls, and project management platforms to stay connected with supervisors and teammates. Regular check-ins and virtual meetings help ensure interns receive feedback, stay aligned on project goals, and can ask questions as needed. While remote work offers flexibility, it also requires strong self-motivation and proactive communication to overcome challenges such as time zone differences or limited in-person interaction. Interns are encouraged to participate actively in virtual discussions and seek mentorship opportunities to make the most of the experience.

What are the key skills and qualifications needed to thrive as a remote political science intern, and why are they important?

To thrive as a Remote Political Science Intern, you need a solid understanding of political theory, research methods, and current events, often supported by coursework or a degree in political science or a related field. Familiarity with data analysis tools, online collaboration platforms, and academic databases is typically required. Strong written communication, self-motivation, and time management skills are vital for excelling in a remote and research-driven environment. These skills ensure meaningful contributions to projects, effective remote collaboration, and the development of valuable professional experience.

What are the most commonly searched types of Remote Political Science jobs in Boston, MA?

The most popular types of Remote Political Science jobs in Boston, MA are:

What are popular job titles related to Remote Internship Political Science jobs in Boston, MA?

For Remote Internship Political Science jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Internship Political Science jobs in Boston, MA look for?

The top searched job categories for Remote Internship Political Science jobs in Boston, MA are:

Remote Internship Political Science jobs near you
Infographic showing various Remote Internship Political Science job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $39,105 per year, or $18.8 per hour.

Data Science Intern

FocusKPI Inc.

Boston, MA • Remote

Other

Posted 9 days ago

Job description

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote  |  Internship  |  Full-time  |  3 months
About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.
Responsibilities
  • Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
  • Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
  • Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
  • Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
  • Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
  • Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
  • Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
  • Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications
  • Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
  • Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
  • Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
  • Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
  • Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
  • Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
  • Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications
  • Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
  • Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
  • Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
  • Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
  • Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
  • Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

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