ZipRecruiter

Log In

1

Data Science Assistant Jobs in Massachusetts (NOW HIRING)

MANTECH

Senior Data Scientist

Springfield, MA

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in ... Responsibilities include but are not limited to: * Assist in the creation of the necessary data ...

Lila Sciences

Senior Software Engineer, Data

Cambridge, MA · On-site

$133K - $176K/yr

... assistants to drive productivity is required. * Communication & Collaboration : Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and ...

UCB

Data Architect (United States)

Boston, MA · On-site

$69.25 - $89/hr

Bachelor's or Master's degree in Computer Science, Data Science, Information Management, or related ... Should you require any adjustments to our process to assist you in demonstrating your strengths and ...

UCB

Data Architect (United States)

Boston, MA · Hybrid

$69.25 - $89/hr

Bachelor's or Master's degree in Computer Science, Data Science, Information Management, or related ... Should you require any adjustments to our process to assist you in demonstrating your strengths and ...

UCB

Data Architect (United States)

Boston, MA · On-site

$69.25 - $89/hr

Bachelor's or Master's degree in Computer Science, Data Science, Information Management, or related ... Should you require any adjustments to our process to assist you in demonstrating your strengths and ...

Lila Sciences

Senior Software Engineer, Data

Cambridge, MA · On-site

$144K - $288K/yr

... assistants to drive productivity is required. * Communication & Collaboration : Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and ...

previous page

Showing results 41-60

All JobsData Science JobsData Science Assistant JobsData Science Assistant Jobs in Massachusetts

Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in Massachusetts?

The most popular types of Data Science jobs in Massachusetts are:

What are popular job titles related to Data Science Assistant jobs in Massachusetts?

For Data Science Assistant jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Science Assistant jobs in Massachusetts look for?

The top searched job categories for Data Science Assistant jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Science Assistant jobs?

Cities in Massachusetts with the most Data Science Assistant job openings:

Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Massachusetts as of August 2026, with employment types broken down into 5% Internship, 84% Full Time, 7% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 16 days ago

Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extension