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Internship Computer Science Opt Jobs in Hopkinton, MA

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Currently pursuing a degree in statistics, computer science, data science, machine learning ...

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Currently pursuing a degree in statistics, computer science, data science, machine learning ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Showing results 21-40

Internship Computer Science Opt information

What are internship opportunities for computer science OPT students?

Internship opportunities for Computer Science OPT (Optional Practical Training) students are temporary work experiences in the tech industry that allow F-1 visa holders to apply their academic knowledge in real-world settings. These internships can be with tech companies, startups, research labs, or IT departments, and often focus on software development, data analysis, cybersecurity, or other computer science fields. OPT internships help students gain valuable work experience, build professional networks, and potentially secure full-time employment after graduation. Students must ensure that the internship is directly related to their major and complies with OPT regulations set by the U.S. Citizenship and Immigration Services (USCIS).

What types of projects can I expect to work on during a computer science internship, and how much guidance will I receive?

As a Computer Science intern, you can expect to work on a variety of projects ranging from software development and debugging to data analysis and testing. These projects often support ongoing team initiatives or introduce new features under the supervision of experienced engineers. Interns typically receive mentorship from a dedicated supervisor and collaborate with team members during code reviews, daily stand-ups, and brainstorming sessions. While you will be encouraged to take initiative and solve problems independently, guidance and feedback are provided regularly to help you grow and succeed in your role.

What are the key skills and qualifications needed to thrive as an internship computer science OPT, and why are they important?

To thrive in a Computer Science Internship, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically backed by ongoing or completed coursework in computer science. Familiarity with version control systems like Git, basic software development tools, and sometimes introductory knowledge of databases or web frameworks is often expected. Strong problem-solving abilities, effective communication, and eagerness to learn help interns stand out and integrate well within teams. These skills and qualities are important because they enable interns to contribute meaningfully to projects, adapt quickly to new challenges, and grow professionally in a real-world tech environment.

What is the difference between Internship Computer Science Opt and Software Developer Intern?

AspectInternship Computer Science OptSoftware Developer Intern
Required CredentialsEnrolled in or recent graduate of CS program, OPT authorizationEnrolled in or recent graduate of CS program, internship eligibility
Work EnvironmentTech companies, startups, research labsTech companies, startups, software firms
Employer & Industry UsageUsed for international students on OPT to gain work experienceCommon internship role for students seeking software development experience

Internship Computer Science Opt and Software Developer Intern roles share similar credentials and work environments, often found in tech companies. The main difference is that the Internship Computer Science Opt specifically caters to international students on OPT, while Software Developer Intern is a broader role for all students. Both provide valuable industry experience, but the OPT internship is tied to visa status requirements.

What job categories do people searching Internship Computer Science Opt jobs in Hopkinton, MA look for?

The top searched job categories for Internship Computer Science Opt jobs in Hopkinton, MA are:

What cities near Hopkinton, MA are hiring for Internship Computer Science Opt jobs?

Cities near Hopkinton, MA with the most Internship Computer Science Opt job openings:

Data Science Intern

FocusKPI Inc.

Boston, MA โ€ข Remote

Other

Posted 9 days ago


Job description

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote  |  Internship  |  Full-time  |  3 months
About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.
Responsibilities
  • Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
  • Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
  • Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
  • Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
  • Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
  • Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
  • Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
  • Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications
  • Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
  • Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
  • Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
  • Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
  • Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
  • Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
  • Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications
  • Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
  • Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
  • Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
  • Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
  • Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
  • Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010