Fall Congress Data & Policy Research Intern

Sunwatercapital; North Bethesda (MD); On-site; USD 18,127 - 25,817; Part time

Benefits offered by this job

Hands-on data work with real-world Leg

Mentorship from policy/data/product团队

Flexible scheduling

Job summary

Legis1 Inc. is seeking a part‑time internship in North Bethesda, Maryland. The role offers in‑person work with hybrid options and compensation of $15.95 per hour. The internship runs Aug 31 through Nov 20, depending on coursework.

You will conduct research to support Legis1 datasets related to Congress, explore new data sources, and assist cross‑functional teams with data tasks while gaining hands‑on experience in a policy and data environment.

Qualifications

• Enrolled undergraduate student pursuing Political Science, Economics, or a related field.
• Interest in Congress, politics, policy, and elections.
• Strong verbal and written communication, plus active listening skills.
• High attention to detail and commitment to accuracy.
• Familiarity with spreadsheets; willingness to learn technical skills.

Responsibilities

• Conduct research to support Legis1 datasets related to Congress.
• Explore new data sources and learn data structuring for a data product.
• Support data quality and reliability by following checks and documenting observations.
• Assist cross-functional teams with data-related tasks and coordination.
• Collaborate with colleagues on data processing activities.
• Conduct targeted research on project topics as needed.

Skills

Verbal communication

Written communication

Attention to detail

Time management

Education

Undergraduate student pursuing Political Science or Economics

Tools

Excel/Google Sheets

Databases

Job description

Legis1 Inc. is seeking a part‑time internship in North Bethesda, Maryland. The role offers in‑person work with hybrid options and compensation of $15.95 per hour. The internship runs Aug 31 through Nov 20, depending on coursework.

You will conduct research to support Legis1 datasets related to Congress, explore new data sources, and assist cross‑functional teams with data tasks while gaining hands‑on experience in a policy and data environment.