2

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

Summer Instructor

Worcester, MA · On-site

$2.50K - $6K/wk

We offer STEM programs such as biomedical engineering, computer science, data science, mechanical ... The Office of Pre-Collegiate Outreach Programs is seeking to hire part-time instructors for our ...

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... Your work helps ensure the integrity of each sample and contributes to the accuracy of data that ...

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... Your work helps ensure the integrity of each sample and contributes to the accuracy of data that ...

Monday - Friday, Part-Time 2:00 PM - 6:00 PM Are you ready to work making the world a safer ... Join our mission to continuously move science forward; to innovate and advance all aspects of our ...

... designed to help scientists, researchers, and clinicians solve the worlds greatest health ... Production records and test data will be reviewed by supervisor or designee. Produce products under ...

Monday - Friday, Part-Time 2:00 PM - 6:00 PM Are you ready to work making the world a safer ... Join our mission to continuously move science forward; to innovate and advance all aspects of our ...

... data. * Utilizing traditional synthetic chemical techniques, the scientist will execute routine ... Part-time and temporary roles may not be eligible for all benefits listed. Please reach out to your ...

next page

Showing results 1-20

Part Time Data Science information

See Worcester, MA salary details

$9

$48

$115

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

As of May 28, 2026, the average hourly pay for part time data science in Worcester, MA is $48.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.74 and $71.34 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 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.

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 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.
What are the most commonly searched types of Data Science jobs in Worcester, MA? The most popular types of Data Science jobs in Worcester, MA are:
What are popular job titles related to Part Time Data Science jobs in Worcester, MA? For Part Time Data Science jobs in Worcester, MA, the most frequently searched job titles are:
What cities near Worcester, MA are hiring for Part Time Data Science jobs? Cities near Worcester, MA with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in Worcester, MA as of May 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 67% Physical, 6% Hybrid, and 27% Remote job distribution, with an average salary of $99,900 per year, or $48 per hour.
Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professi...

Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professi...

Brandeis University

Waltham, MA • Remote

$25 - $30/hr

Part-time, Temporary

Posted 29 days ago


Job description

Position: Micro-Credential Grader-AI Fundamentals for STEM Professionals
Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation
Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented STEM professional to serve as a Micro-Credential Grader for the online asynchronous credential, AI Fundamentals for STEM Professionals.
In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate mastery of AI concepts through a real-world STEM challenge and a complete 5-step workflow design. This project-based credential equips professionals with foundational skills in supervised learning, data preprocessing, model selection, and ethical AI deployment. As a grader, you'll apply structured rubrics to assess technical accuracy, conceptual depth, and responsible innovation.
This role offers a unique opportunity to contribute to a high-impact, workforce-aligned credential that bridges STEM expertise with emerging AI capabilities.
What You Will Do:
  • Evaluate learner submissions of the AI Workflow Project, which include a real-world STEM challenge, an AI-powered solution, and a complete 5-step workflow design.
  • Apply structured rubrics to assess mastery of skills such as supervised learning, data preprocessing, model selection, and interpretability.
  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating technical artifacts and conceptual reasoning.
  • Maintain confidentiality and objectivity throughout the grading process
What You Bring:
  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Engineering, or related STEM disciplines.
  • Subject-matter expertise in foundational AI concepts, including machine learning, data analysis, and ethical considerations in AI deployment.
  • Experience in academic assessment, workforce development, or digital learning preferred.
  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.
  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement. Proficient in rubric-based assessment and competency validation, especially for technical and project-based submissions.
  • Strong attention to detail and ability to maintain consistency across diverse submissions.
  • Excellent written communication skills for delivering constructive, learner-focused feedback.
  • Comfortable working in asynchronous learning environments and using digital platforms.
  • Adaptability in managing multiple grading tasks within deadlines.

Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement