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Part Time Data Science Jobs in Boston, MA (NOW HIRING)

ERG

Research Analyst

Concord, MA · On-site

$28 - $35/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... Economics, Data Science, Statistics, Computer Science, Sociology or related degree * Good ... for part-time) and more. The salary range for all positions depends on the years and type of ...

Wit

Adjunct Instructor - Interior Design

Boston, MA

$1.3K/wk

In addition, we are seeking a part-time adjunct faculty member to lead History of Interiors I (MW ... Architecture and Design, Computing and Data Science, Engineering, Management, and Sciences and ...

Wit

Adjunct Instructor

Boston, MA

$1.3K/wk

... as part-time adjunct faculty for the Civil Engineering Program to teach Senior Capstone ... Data Science, Engineering, Management, and Sciences and Humanities. Wentworth is a member of the ...

NorthEastern

Part-Time Lecturer MGEN (Boston)

Boston, MA · On-site

$2.6K/wk

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... so that data scientists and business analysts can access and interpret data in context to provide meaningful results to management. The MS in Software Engineering Systems approaches software ...

C10 Labs

AI BioHub Mentor

Cambridge, MA · On-site +1

... in assessing scientific feasibility, technical differentiation, data strategy, validation ... Engagement This is a part-time mentor appointment. Time commitments will vary based on program ...

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Showing results 21-40

All JobsData Science JobsPart Time Data Science JobsPart Time Data Science Jobs in Boston, MA

Part Time Data Science information

See Boston, MA salary details

$10

$50

$120

How much do part time data science jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for part time data science in Boston, MA is $50.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.47 and $74.63 per hour, depending on experience, location, and employer.

What are part-time data science jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What are the key skills and qualifications needed to thrive as a part-time data scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.
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What are the most commonly searched types of Data Science jobs in Boston, MA?

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For Part Time Data Science jobs in Boston, MA, the most frequently searched job titles are:

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Part Time Data Science jobs near you
Infographic showing various Part Time Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 8% Full Time, and 92% Part Time. Highlights an 77% In-person, 15% Hybrid, and 8% Remote job distribution, with an average salary of $104,495 per year, or $50.2 per hour.

Research Analyst

ERG

Concord, MA • On-site

$28 - $35/hr

Part-time

Medical, Dental, Life, Retirement, PTO

Posted 15 days ago

Job description

ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. ERG offers multidisciplinary teams with nationally recognized skills in engineering, science, economics, public health, informational technology, and communications. We hire people with the best minds and then provide them with a vibrant and flexible environment in which to develop their careers. The qualified individual must be highly motivated with the skills to prioritize, perform, and communicate effectively in a fast-paced environment. 

ERG is seeking a part-time Research Analyst to join our Economic and Policy Analysis practice that supports a wide range of policy-oriented research at the federal, state, and local levels. Our clients include the U.S. Department of Health and Human Services (HHS), Coast Guard (USCG), Massachusetts Department of Public Health (DPH), Occupational Safety and Health Administration (OSHA), Food and Drug Administration (FDA), Environmental Protection Agency (EPA), and others.  
Job Description:
  • Serving as a technical analyst for domestic U.S. projects related to policies and regulations affecting public health, worker safety and health, and the environment
  • Working with large data sets (e.g., performing data cleaning, merging, matching, visualization, etc.) using R, Python, SAS, or other statistical analysis tools
  • Implementing RAG (Retrieval-Augmented Generation)
  • Using AI and machine learning across various types of projects
  • Conducting technical literature reviews
  • Supporting mid- and senior-level staff in analyzing benefits, costs, and impacts of regulations, policies, and programs
  • Supporting mid- and senior-level staff in conducting evaluations of public health and environmental programs using standard and innovative quantitative and/or qualitative methods and techniques
  • Supporting primary data collection efforts which include field and web surveys, interviews, and focus groups
  • Preparing sections of projects reports, memoranda, quantitative models, and presentations
Qualifications and Skills:
  • Bachelor's Degree in an economic or other quantitative field, such as Mathematical Economics, Data Science, Statistics, Computer Science, Sociology or related degree
  • Good proficiency in R, Python, C, C++, SAS, or STATA for coding, data analysis and predictive analytics
  • Ability to conduct technical analyses both quantitative and qualitative in nature
  • Ability to implement RAG (Retrieval-Augmented Generation)
  • Ability to implement AI tools and machine learning effectively across project types
  • Ability to manage deadlines effectively across multiple projects
  • Excellent written and oral communication skills, including the ability to clearly communicate analyses and findings to various stakeholders in non-technical language
  • Excellent time management and organizational skills
  • Proficiency in MS Office Applications including Word, PowerPoint, Outlook, Excel, and Teams
$28 - $35 an hour
ERG offers competitive salaries and excellent benefits, including health and dental insurance, life insurance, long-term disability, educational benefits, FSAs, a generous 401k plan, profit sharing, an EAP, 11-20 paid vacation days per year, 10 paid holidays per year, 56 hours or more of sick leave (based on the state you work in) per year (pro-rated for part-time) and more. The salary range for all positions depends on the years and type of experience. 
  
ERG is an equal opportunity employer and complies with all applicable EEOC regulations. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual preference, national origin, disability, or status as a protected veteran.  
   
Please be aware, the only authentic corporate domain for ERG is https://www.erg.com.  ERG may, on occasion, screen applicants via telephone or video interviews via Skype, Teams, GoToMeeting, or another type of video platform. However, any candidate extended a job offer might be asked to meet in person with an ERG employee before providing confidential personal information associated with new employment. 
  
If you're a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access ERG's online application process as a result of your disability. To request accommodation, please contact Human Resources via email at [email protected] or call (781) 674-7293. 
  
ERG fosters a friendly, flexible work environment. ERGers are dedicated to serving clients who are committed to making the world a better place. We promote and recognize principles of fairness and respect in the work we do, the partnerships we foster, and the culture we value both within and outside of our organization. 
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