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Internship Political Data Science Jobs in Massachusetts

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

... interns. Knowledge and Experience Education: Minimum B. Sc. Computer Science with Statistics or ... Expertise in data analysis, machine learning, and statistical modeling. Experience with data ...

... data, and constructing evidence-based political arguments. Emphasizes critical analysis of ... Familiar with political science curricula at introductory and upper-division levels and common ...

You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

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Internship Political Data Science information

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

To thrive as an Internship Political Data Scientist, you generally need a strong background in statistics, data analysis, and political science, often supported by coursework or a degree in related fields. Familiarity with statistical software (such as R or Python), data visualization tools, and databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with diverse teams. These skills are important to accurately analyze political trends, inform strategic decisions, and present findings clearly to stakeholders.

What can I expect in terms of collaboration and mentorship during a Political Data Science internship?

During a Political Data Science internship, you will typically work closely with experienced data scientists, analysts, and sometimes campaign strategists. Most teams encourage interns to participate in regular meetings, share findings, and seek feedback on their work. Mentorship is a key component, with supervisors often providing guidance on project design, data analysis techniques, and best practices. You can expect to collaborate on real-world projects, such as voter modeling or sentiment analysis, while receiving support to help you develop both technical and professional skills.

What is an Internship in Political Data Science?

An Internship in Political Data Science is a temporary, hands-on position where students or recent graduates work with data related to political science, campaigns, elections, or policy analysis. Interns typically assist with collecting, cleaning, and analyzing large datasets to uncover trends, inform strategies, or support research. This role often involves using statistical software, programming languages such as Python or R, and data visualization tools. Interns gain practical experience in applying data science methods to real-world political questions, while also learning about the intersection of technology and politics.

What do political data scientists do?

Political data scientists analyze political data to identify patterns, trends, and insights that inform campaign strategies, policy decisions, or public opinion. They often use statistical tools, programming languages like Python or R, and data visualization techniques to interpret complex datasets related to voter behavior, polling, or legislative activity.

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

AspectInternship Political Data SciencePolitical Data Analyst
CredentialsTypically students or recent graduates; may require coursework in political science and data analysisBachelor's or master's in political science, statistics, or related fields; some roles prefer experience
Work EnvironmentInternship programs, often in government agencies, NGOs, or research firmsFull-time roles in government, political campaigns, or consulting firms
Industry UsageEntry-level, training-focused positions for skill developmentProfessional roles involving data analysis, reporting, and strategic insights

In summary, Internship Political Data Science positions are entry-level, training-focused roles ideal for students or recent graduates, while Political Data Analysts are full-time professionals with more experience conducting data analysis and providing strategic insights in political settings.

What are the most commonly searched types of Political Data Science jobs in Massachusetts? The most popular types of Political Data Science jobs in Massachusetts are:
What are popular job titles related to Internship Political Data Science jobs in Massachusetts? For Internship Political Data Science jobs in Massachusetts, the most frequently searched job titles are:
What cities in Massachusetts are hiring for Internship Political Data Science jobs? Cities in Massachusetts with the most Internship Political Data Science job openings:

Other

Posted 20 days ago


Job description

Data Scientist

Company Description

Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms.  We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge.  Our products to generate actionable business insights for our customers and partners, assisting in each step of the media planning, buying and measurement lifecycle.

Role Description

This is a full-time Data Scientist role with Newton Research, Inc.  This role requires the candidate to work at our offices in Needham, MA. The Data Scientist will be responsible for developing production-level data models and algorithms, analyzing data, designing experiments, and interpreting results. The role will also involve collaborating with cross-functional teams, mentoring other data scientists, and presenting findings to stakeholders. We value self-motivated individuals who enjoy working on small teams in a dynamic and fast-changing environment.

Qualifications

  • Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a related discipline.
  • Strong foundation in data analysis, statistical modeling, and machine learning concepts.
  • Proficiency in Python, including familiarity with data science libraries like pandas and scikit-learn.
  • Experience writing SQL queries and working with relational databases.
  • Demonstrated ability to approach data challenges systematically and creatively.
  • Ability to clearly explain technical concepts to both technical and non-technical audiences.
  • Willingness to learn and grow in a fast-paced, dynamic startup environment.
  • Familiarity with big data technologies or cloud computing platforms is a plus.
  • Experience in projects or internships involving collaboration with teams is a plus.
  • Experience in media, marketing, advertising, or related industries is a plus.