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Remote Computer Science Postdoc Jobs in Malden, MA

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 ...

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 ...

Motion Recruitment

Senior Data Scientist

Boston, MA · Remote

Join a cutting-edge AI Platform team as a Senior Data Scientist in a 6-month remote contract-to ... Science, Computer Science, Machine Learning, or a related field What You Will Be Doing Tech ...

Gradient AI

Principal Data Scientist

Boston, MA · On-site +1

$190K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ ...

Gradient AI

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 1-2 ...

MedSchoolCoach

Research Mentor

Boston, MA · On-site +1

$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 ...

Dlapiper

Data Scientist

Boston, MA · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

MedSchoolCoach

Research Mentor

Boston, MA · On-site +1

$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 ...

Gradient AI

Staff Data Scientist

Boston, MA · On-site +1

$160K - $195K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3-5 ...

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Showing results 21-40

All JobsComputer Science Postdoc JobsRemote Computer Science Postdoc JobsRemote Computer Science Postdoc Jobs in Malden, MA

Remote Computer Science Postdoc information

See Malden, MA salary details

$26.1K

$61.6K

$87.1K

How much do remote computer science postdoc jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote computer science postdoc in Malden, MA is $61,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $69,400.00 per year, depending on experience, location, and employer.

What is a remote computer science postdoc?

A Remote Computer Science Postdoc is a postdoctoral research position in the field of computer science that allows the researcher to work from a location outside of a traditional academic or research institution, often from home or another remote location. These positions typically involve conducting independent or collaborative research under the guidance of a principal investigator, publishing papers, and contributing to ongoing projects. Remote postdocs leverage digital communication tools to collaborate with their teams and may also participate in virtual conferences and seminars. This flexibility can make it easier to balance work with personal commitments and collaborate internationally. However, it also requires strong self-motivation and communication skills to succeed.

What are some common challenges faced by remote computer science postdocs when collaborating with research teams?

Remote Computer Science postdocs often navigate challenges such as time zone differences, limited face-to-face mentorship, and building rapport with team members. Effective communication tools and regular video meetings are crucial for maintaining strong collaboration and ensuring research progress. Proactively seeking feedback and participating in virtual lab meetings can help remote postdocs stay engaged and integrated with their research groups.

What are the key skills and qualifications needed to thrive as a remote computer science postdoc, and why are they important?

To thrive as a Remote Computer Science Postdoc, you need a PhD in computer science or a related field, strong research and analytical skills, and a track record of scholarly publications. Familiarity with advanced programming languages, statistical analysis software, and collaborative research platforms is typically expected. Excellent written communication, self-motivation, and time management are vital soft skills for excelling in a remote academic environment. These competencies ensure that you can independently drive impactful research while effectively collaborating and sharing findings with the broader scientific community.

What are popular job titles related to Remote Computer Science Postdoc jobs in Malden, MA?

For Remote Computer Science Postdoc jobs in Malden, MA, the most frequently searched job titles are:

What cities near Malden, MA are hiring for Remote Computer Science Postdoc jobs?

Cities near Malden, MA with the most Remote Computer Science Postdoc job openings:

Remote Computer Science Postdoc jobs near you
Infographic showing various Remote Computer Science Postdoc job openings in Malden, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $61,557 per year, or $29.6 per hour.

Data Science Intern

Boston, MA • Remote

FocusKPI Inc.
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees
Learn more about FocusKPI Inc.external

Other

Posted 11 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

View All FocusKPI Jobs