Data Science Intern

Mitre Corporation; Bedford (MA); On-site; USD 47,000 - 70,000; Full time

Job summary

MITRE invites qualified students to join our System Engineering Analytics Department for a data science internship. You will work with experienced data scientists to translate sponsor challenges into analytical questions and build end-to-end data pipelines.

You will analyze datasets, develop models, and craft visualizations to communicate findings to diverse audiences. The role requires full-time student status in a relevant field, programming familiarity (Python or R), and the ability to work

Qualifications

• Must be a student enrolled full-time in an accredited degree-seeking program in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related field, and continue to be enrolled full-time the semester following the internship.
• Familiarity with a programming or technical computing language such as Python or R, demonstrated through coursework or projects.
• Familiarity with data preparation, basic statistical analysis, and data visualization through coursework or projects.
• Eligible to obtain and maintain a Top Secret/SCI U.S Government issued Security Clearance. US citizenship required.
• Minimum of 4 days a week on-site.

Responsibilities

• Help translate government sponsor challenges into analytical questions and testable hypotheses with guidance from experienced data scientists.
• Prepare, clean, combine, and analyze datasets to support end-to-end data analytic pipelines.
• Assist with developing, testing, and evaluating statistical and machine learning models for real-world problems.
• Create visualizations and dashboards that communicate analytical findings to technical and non-technical audiences.
• Collaborate with technical teams to document methods, code, and results and contribute to project reports and presentation.

Skills

Python

R

Data analysis

Data visualization

Education

Full-time student in Data Science/CS/Statistics/Math/OR or related field

Tools

Tableau

Power BI

SQL

Git

R Studio

Job description

At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S. government agencies – collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation’s health, security, and prosperity. Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose — and help shape the future.

Department Summary

The System Engineering Analytics Department combines systems engineering and data analytics to address challenging problems facing the U.S. government. Interns work with experienced data professionals to help develop data analytic pipelines, evaluate analytical models, and communicate findings that support government sponsor decisions.

Job Responsibilities

• Help translate government sponsor challenges into analytical questions and testable hypotheses with guidance from experienced data scientists.
• Prepare, clean, combine, and analyze datasets to support end-to-end data analytic pipelines.
• Assist with developing, testing, and evaluating statistical and machine learning models for real-world problems.
• Create visualizations and dashboards that communicate analytical findings to technical and non-technical audiences.
• Collaborate with technical teams to document methods, code, and results and contribute to project reports and presentation.

Basic Qualifications

• Sustained excellence in academic performance.
• Must be a student enrolled full-time in an accredited degree‑seeking program in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related field, and continue to be enrolled full-time the semester following the internship.
• Familiarity with a programming or technical computing language such as Python or R, demonstrated through coursework or projects.
• Familiarity with data preparation, basic statistical analysis, and data visualization through coursework or projects.
• Must be eligible to obtain and maintain a Top Secret/SCI U.S Government issued Security Clearance. Per the U.S. Government’s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
• This position requires a minimum of 4 days a week on-site.

Preferred Qualifications

• Demonstrated interest in serving the public and applying data analytics to real‑world problems.
• Coursework or project experience in statistical modeling, machine learning, or working with AI models.
• Experience using data visualization tools such as Tableau, QuickSight, or Power BI.
• Academic or project experience working with databases, SQL, or shared software development environments using Git.
• Ability to work effectively on multidisciplinary teams and communicate technical concepts and analytical findings clearly.

This requisition requires the candidate to have a minimum of the following clearance(s)

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s)

None

Salary compensation range and midpoint

$46,500 - $58,000 - $69,500 Annual

Work Location Type

Onsite

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.

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