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Summer Masters Computer Science Jobs in Allston, MA

MORSE Corp

Data Scientist

Cambridge, MA · On-site

Security Clearance • Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field • 5+ years of experience in ...

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All JobsSummer Masters Computer Science JobsSummer Masters Computer Science Jobs in Allston, MA

Summer Masters Computer Science information

What is the difference between Summer Masters Computer Science vs Summer Data Science Intern?

AspectSummer Masters Computer ScienceSummer Data Science Intern
Required CredentialsUndergraduate or Master's in Computer Science or related fieldUndergraduate or Master's in Data Science, Computer Science, or related field
Work EnvironmentSoftware development, coding, algorithm designData analysis, modeling, statistical programming
Employer & Industry UsageTech companies, software firms, startupsTech companies, finance, healthcare, consulting

Summer Masters Computer Science roles focus on software development, coding, and algorithms, while Summer Data Science Intern positions emphasize data analysis, statistical modeling, and data-driven decision making. Both roles typically require similar educational backgrounds and are found in tech-driven industries, but they differ in daily tasks and skill emphasis.

What are popular job titles related to Summer Masters Computer Science jobs in Allston, MA?

For Summer Masters Computer Science jobs in Allston, MA, the most frequently searched job titles are:

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The top searched job categories for Summer Masters Computer Science jobs in Allston, MA are:

What cities near Allston, MA are hiring for Summer Masters Computer Science jobs?

Cities near Allston, MA with the most Summer Masters Computer Science job openings:

Summer Masters Computer Science jobs near you
Infographic showing various Summer Masters Computer Science job openings in Allston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Operations Research and Statistics Tenure-Track Assistant Professor

Cambridge, MA • On-site

Massachusetts Institute of Technology
Colleges, Universities, and Professional Schools • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

45th of 622 rated colleges and universities

People enjoy working here

Good employer

Recommended by students

Learn more about Massachusetts Institute of Technologyexternal

$225K - $254K/yr

Full-time

Re-posted 17 days ago

Job description

Description
The Massachusetts Institute of Technology (MIT) Sloan School of Management at 77 Massachusetts Avenue, Cambridge, MA invites applications for a Tenure-Track Assistant Professor position in Operations Research and Statistics (OR/Stat) beginning July 1, 2026, or as soon thereafter as possible. Strong applicants will demonstrate the potential for research and teaching excellence in any of the sub-fields of Operations Research and Statistics, including Data Science, Optimization, Statistics, Analytics (including applied Machine Learning and AI), and/or Operations Research broadly construed. We are especially interested in candidates who can build a strong methodological research base, contribute to application areas of high impact, and successfully teach in our undergraduate, MBA, MBAnalytics, and/or PhD programs. Duties will include teaching undergraduate and/or graduate level courses in Operations Research, Statistics, and Data Science, and conducting original scholarly research in Operations Research, Statistics, Data Science, or related fields. The MIT Sloan School of Management offers supportive mentorship to new faculty, an exceptional environment for scientific inquiry, and a strong commitment to an inclusive, welcoming culture.
The pay range for a 9-month academic appointment at the entry-level Assistant Professor rank (excluding summer salary): $225,000 - $254,000. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. These factors impact where an individual's pay falls within a range. Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.
Qualifications
Applicants should possess a PhD in Operations Research, Statistics, Industrial Engineering, Computer Science, or a related relevant field by the start of employment.
Application Instructions
Applications must include an up-to-date curriculum vitae, three letters of recommendation, a personal statement describing research experience and aspirations, and a personal statement describing teaching aspirations and any teaching experience.
Applications should be submitted in full by November 10, 2025.
Applicants are encouraged to initiate the submission of their materials by October 16, 2025 (10 days prior to the INFORMS Annual Meeting) in order to facilitate the potential for discussions at the meeting.

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