ZipRecruiter

Log In

1

Data Science Research Assistant Jobs in Worcester, MA

National Grid

Data Scientist, Data Science

Waltham, MA · On-site

$103K - $121K/yr

... * Assist with research, implementation, and delivery of data products that support the work of the ... Qualifications Required * Bachelor's degree in Data Science, Computer Science, Statistics ...

National Grid

Data Scientist, Data Science

Waltham, MA · Hybrid

$103K - $121K/yr

... * Assist with research, implementation, and delivery of data products that support the work of the ... Qualifications Required * Bachelor's degree in Data Science, Computer Science, Statistics ...

next page

Showing results 1-20

All JobsData Science Research JobsData Science Research Assistant JobsData Science Research Assistant Jobs in Worcester, MA

Data Science Research Assistant information

See Worcester, MA salary details

$8

$21

$31

How much do data science research assistant jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data science research assistant in Worcester, MA is $21.86, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $25.43 per hour, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are popular job titles related to Data Science Research Assistant jobs in Worcester, MA?

For Data Science Research Assistant jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant jobs in Worcester, MA look for?

The top searched job categories for Data Science Research Assistant jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Data Science Research Assistant jobs?

Cities near Worcester, MA with the most Data Science Research Assistant job openings:

Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $45,472 per year, or $21.9 per hour.

Temporary Graduate Research Assistant

Worcester Polytech

Worcester, MA • On-site

$21/hr

Part-time

Posted 13 days ago

Job description

JOB TITLE

Temporary Graduate Research Assistant

LOCATION

Worcester

DEPARTMENT NAME

Fire Protection Engineering - JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

We are seeking a highly motivated graduate student to join our research team in the Fire Protection Engineering Department at WPI. The position is focused on developing a Probabilistic Framework for Fire Risk Assessment using fire spread models in FireBench. The role requires a strong background in probabilistic modeling, data analysis, Python programming, and machine learning.

JOB DESCRIPTION

Skills and Experience:

  • Probabilistic Modeling: Experience with Monte Carlo simulation, Bayesian networks, or uncertainty quantification methods.
  • Python Programming: Proficiency in Python for data processing, simulation pipelines, and automation (NumPy, pandas, SciPy, etc.).
  • Machine Learning: Familiarity with ML frameworks (scikit-learn, TensorFlow, or PyTorch) for wildfire risk modeling and pattern recognition.
  • Geospatial Data Analysis: Experience handling large geospatial datasets (e.g., NOAA weather data, LANDFIRE fuel maps, GIS tools).
  • Fire Spread Models: Familiarity with fire behavior modeling tools such as FireBench, FARSITE, or WRF-SFIRE is a plus.
  • Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively.

Required Skills:

  • Python, Machine Learning, Monte Carlo Simulation, GIS/Geospatial Tools
  • Learning Outcomes Ability to Learn Quickly
  • Accuracy, Accurate Listening, Analytical Thinking
  • Collaboration, Communication, Data Analysis, Probabilistic Reasoning
  • Open Minded, Time Management, Verbal Communication

Job Requirements:

  • A current Master's candidate in Computer Science, Data Science, Robotics, Mechanical Engineering, or a related field is required.

Compensation:

Hourly rate is $21.00 based on experience. To apply please submit a cover letter and resume/cv

FLSA STATUS

United States of America (Non-Exempt)

WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status,or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making.It is committed to maintaining a campus environment free of harassment and discrimination.

Apply