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Internship Economics Computer Science Jobs in Boston, MA

Management Information Systems, Accounting, Finance/Economics, Computer Science, Business, Science, Technology, Engineering & Mathematics and/or other business field of study. Preferred ...

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Internship Economics Computer Science information

Is $30 an hour good for an internship?

For an internship in economics or computer science, $30 an hour is considered above average, as most internships pay between $15 and $25 per hour. However, pay rates can vary based on location, company, and the level of skills required, such as programming or data analysis. It's also important to consider the experience gained and whether the internship offers other benefits like mentorship or networking opportunities.

What are the key skills and qualifications needed to thrive as an Economics and Computer Science Intern, and why are they important?

To thrive as an Economics and Computer Science Intern, you need foundational knowledge in economic theory, data analysis, and programming—often supported by coursework in economics, statistics, and computer science. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience using statistical software, is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills will help you stand out in this role. These competencies are crucial for interpreting complex data, contributing valuable insights, and collaborating efficiently with multidisciplinary teams.

What are Internship Economics Computer Science positions?

Internship Economics Computer Science positions are temporary roles designed for students or recent graduates interested in the intersection of computer science and economics. These internships typically involve tasks such as data analysis, economic modeling, programming, and research to solve real-world economic problems using computational methods. Interns gain hands-on experience working with large datasets, developing algorithms, and applying economic theory to technology-driven projects. These positions are often found in research institutions, tech companies, financial firms, and government agencies, providing valuable exposure to both fields.

What jobs combine economics and computer science?

Jobs that combine economics and computer science include roles such as data analyst, financial analyst, quantitative analyst, economic consultant, and machine learning engineer. These positions often require skills in programming, statistical analysis, and economic modeling, and are common in finance, consulting, and technology sectors.

What internships can economics students do?

Economics students can pursue internships in areas such as financial analysis, economic research, data analysis, consulting, and policy analysis. These internships often involve skills in data modeling, statistical software, and economic theory, providing practical experience in finance, government agencies, or private firms.

What is the difference between Internship Economics Computer Science vs Internship Data Analysis?

AspectInternship Economics Computer ScienceInternship Data Analysis
Required SkillsEconomics principles, programming, data modelingStatistical analysis, programming, data visualization
Work EnvironmentResearch, software development, economic modelingData processing, reporting, business insights
Industry UsageFinance, tech, consultingMarketing, finance, tech

Internship Economics Computer Science focuses on applying economic theories with programming skills to analyze markets and develop models. In contrast, Internship Data Analysis emphasizes statistical techniques and data visualization to interpret large datasets. Both roles often overlap in tech and finance sectors, but their core focus and skill sets differ slightly.

Which internship is best for a CS student?

The best internship for a CS student depends on their interests and career goals, but generally, internships at technology companies or research labs that offer hands-on experience with programming, software development, or data analysis are valuable. Look for roles that provide mentorship, exposure to relevant tools like Python or Java, and opportunities to work on real projects. These internships can enhance skills, build a professional network, and improve job prospects after graduation.

What types of projects can I expect to work on during an Economics and Computer Science internship?

As an intern combining economics and computer science, you can expect to work on projects involving data analysis, algorithm development, and economic modeling. Typical tasks may include using programming languages like Python or R to analyze large datasets, building predictive models for financial or market trends, and collaborating with economists and software engineers to develop data-driven solutions. These projects not only enhance your technical skills but also provide valuable exposure to real-world economic problem-solving within a collaborative, interdisciplinary team environment.
What are popular job titles related to Internship Economics Computer Science jobs in Boston, MA? For Internship Economics Computer Science jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Internship Economics Computer Science jobs in Boston, MA look for? The top searched job categories for Internship Economics Computer Science jobs in Boston, MA are:
What cities near Boston, MA are hiring for Internship Economics Computer Science jobs? Cities near Boston, MA with the most Internship Economics Computer Science job openings:
Operations Research Analyst-Direct Hire

Operations Research Analyst-Direct Hire

US Department of the Treasury

Brockton, MA • On-site

$74K/yr

Other

Posted 11 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

238th of 693 rated public administrative organizations


Job description


WHAT IS DATA AND ANALYTICS?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

Position(s) are to be filled in the following area(s):
Data and Analytics (DAO)- Research, Applied Analytics & Statistics (RAAS)
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off date as shown in announcement under the 'How to Apply' section.
BASIC REQUIREMENTS GS-5 AND (All GRADES): A degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.
Evaluation of Education:The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area.Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science.The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college-level mathematics or statistics is a prerequisite. Courses in theory of probability and statistics are highly desirable but are not specified as minimum educational requirements because to do so would possibly exclude some applicants who would otherwise be well qualified.
SPECIALIZED EXPERIENCE GS-11 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal service. Specialized experience for this position includes:
  • Experience with mathematical reasoning/statistical project assignments that require operations research requirements and techniques. For example, experience would show a good understanding of operations research processes, procedures, and rules.
  • Experience utilizing mathematical methods and scientific principles in order to accomplish studies, develop a variety of mathematical models and provide management with solutions or recommendations or the equivalent.
  • Experience using multivariate techniques and pertinent mathematical, simulation, economics, econometric and statistical operations research techniques.
  • Experience researching and gathering data from a variety of sources and using it to analyze technical projects and program areas.
  • Experience using negotiation and conflict resolution techniques to collaborate in a team environment.
  • Experience using oral and written techniques to develop/prepare presentations and deliver briefings, and experience managing/leading teams to develop analysis and final deliverables.
  • Experience with a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL) or object-oriented programming language for data analysis (examples include: Python, R, SAS).
OR
Education
: You may substitute education for specialized experience as follows: Three (3) full years of progressively higher-level graduate education leading to a Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR
A Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR Combination of Education and Experience: You may qualify by a combination of experience and education. Options for qualifying based on a combination will be identified in the online questions.
SPECIALIZED EXPERIENCE GS-12 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position must include the following:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to provide management with viable solutions or recommendations.
  • Experience with multivariate techniques and mathematical, simulation, economics, econometric, and statistical operations research techniques to use in the context of organizational policy decisions or business problems.
  • Experience with the Internal Revenue Code, Treasury and Office of Management and Budget (OMB) regulations and procedures, administrative provisions, and the Internal Revenue Manual in order to ensure guidelines are applied in analysis.
  • Experience assisting or conducting research using standard methods for identifying the probable causes of cost/workload variances and procedures for resolving variances.
  • Experience with oral and written communications to complete data analysis and communicate analytical findings through conference calls, emails, graphic displays, and oral presentations.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
See education information for Specialized experience qualification for GS 13 Level.
For more information on qualifications please refer to OPM's Qualifications Standards.Education:
SPECIALIZED EXPERIENCE GS-13 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position must include:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to measure program effectiveness and efficiency and to identify probable causes of cost/workload variance.
  • Experience conducting data analysis and communicating analytic findings to stakeholders through written products (e.g., emails, reports) and oral communication methods such as conference calls and presentations.
  • Experience applying the Internal Revenue code, Treasury and OPM regulations, administrative requirements and guidance to ensure analysis, recommendations or actions comply with established guidelines.
  • Experience consulting with supervisors, other operations research analysts, and subject-matter specialists to advise them on all aspects of problem-related studies and assignments, including the translation of broad and specific technical problems and considerations into language which allows for decisions and actions to be taken.
  • Experience using software (e.g., Excel) to develop analytical spreadsheets, prepare reports, and create materials that support operations to analyze and interpret technical or program data, develop tracking mechanisms and prepare technical reports or briefings used by management to evaluate performance, resolve issues or recommend improvements.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform)

A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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