ZipRecruiter

Log In

2

Remote Computer Science Winter Internship Jobs in Boston, MA

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

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

New

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

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

New

MedSchoolCoach

Research Mentor (Remote)

Boston, MA · Remote

$75 - $100/hr

Medical/Biological Sciences Physics, Chemistry Computer Science, AI Environmental Sciences Compensation & Work Structure: $75-$100 per mentorship session Fully Remote (Must have stable internet ...

Mercor

AI Research Scientist - PhD - AI Trainer

Boston, MA · On-site +1

$66 - $84/hr

Applied Computer Science Benchmark Specialist Type: Contract Compensation: $66-$84/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities * Author original computer science questions ...

next page

Showing results 1-20

All JobsComputer Science Winter JobsRemote Computer Science Winter Internship JobsRemote Computer Science Winter Internship Jobs in Boston, MA

Remote Computer Science Winter Internship information

What is the difference between Remote Computer Science Winter Internship vs Remote Software Developer Intern?

AspectRemote Computer Science Winter InternshipRemote Software Developer Intern
Required CredentialsTypically pursuing a degree in Computer Science or related fieldSame as CS internship, often students or recent graduates
Work EnvironmentRemote, project-based, often includes mentorshipRemote, coding-focused, team collaboration
Employer & Industry UsageTech companies, startups, research labsTech firms, software companies, startups
Common Search & ComparisonYesYes

The Remote Computer Science Winter Internship and Remote Software Developer Intern roles share similar credentials and work environments, both targeting students or recent grads in tech fields. The internship often emphasizes broader CS concepts, research, and mentorship, while the software developer internship focuses more on coding and software development tasks. Both are popular for gaining industry experience remotely during winter seasons.

What are popular job titles related to Remote Computer Science Winter Internship jobs in Boston, MA?

For Remote Computer Science Winter Internship jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Winter Internship jobs in Boston, MA look for?

The top searched job categories for Remote Computer Science Winter Internship jobs in Boston, MA are:

Remote Computer Science Winter Internship jobs near you
Infographic showing various Remote Computer Science Winter Internship job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 12% Part Time, and 9% Contract. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution.

Data Science Intern

FocusKPI Inc.

Boston, MA • On-site, Remote

Full-time, Internship

Posted 3 days ago

New

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.
FocusKPI logo

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

View All FocusKPI Jobs

Apply