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

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 ...

... science and delivery of life-enhancing therapies to more patients. We work across a diverse range ... Validate timekeeping data, resolve discrepancies, and ensure proper documentation for each pay ...

... science and delivery of life-enhancing therapies to more patients. We work across a diverse range ... Validate timekeeping data, resolve discrepancies, and ensure proper documentation for each pay ...

Phlebotomist - Part Time

Waltham, MA · On-site

$18 - $26/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we ...

Phlebotomist - Part Time

Waltham, MA · On-site

$18 - $26/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we ...

... data collection. The intern will work closely with scientists and engineers to support ongoing new ... Ability to commit to full-time work over the summer and part-time availability during the academic ...

R&D Intern

Westborough, MA · On-site

$30 - $34/hr

... data collection. The intern will work closely with scientists and engineers to support ongoing new ... Ability to commit to full-time work over the summer and part-time availability during the academic ...

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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 Jul 25, 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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

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.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

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.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

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.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
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 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 July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,900 per year, or $48 per hour.

Lecturer, Department of Information Systems and Analytics

The Trustees of Bryant University

Smithfield, RI • On-site

Full-time, Part-time

Posted 17 days ago


Job description

Posting Details
Position Information
Job Title
Lecturer, Department of Information Systems and Analytics
Full Time / Part Time
Full Time
Job Type
Faculty
Reports To
Dean, College of Business
Position Summary
The Department of Information Systems and Analytics (ISA) at Bryant University invites applications for a lecturer, beginning in August 2026.
The successful candidate will be expected to contribute to our undergraduate and graduate ISA programs in IS, Data Science, Business Analytics and Applied AI. We especially welcome applicants qualified to teach courses in IT Infrastructure and Cloud Computing, Cybersecurity, and IT Security and Risk Management. Candidates with additional expertise in Artificial Intelligence and Robotics are preferred.
This position requires a strong commitment to teaching excellence. In addition, the position requires contribution to occasional service projects at the department, college, and university level. Salary is market based and commensurate with preparation, experience, and demonstrated performance.
Bryant is recognized as a top 1 percent national leader in student education outcomes and ROI and regularly receives high rankings from U.S. News and World Report, QS Stars, Money, Bloomberg Businessweek, Wall Street Journal, and College Factual. Bryant's strategic plan, Vision 2030, redefines higher education through a commitment to providing students with a transformational learning experience. Vision 2030 accelerates advancements in academic innovation, experiential learning, vibrant student life, Division I athletics, and a connected community that fosters belonging and success.
Bryant University's ISA Department consists of nine tenure-track faculty and one non- tenure track faculty members who bring extensive business experience to the classroom. We offer various programs in IS, Data Science, Business Analytics and Applied AI at both undergraduate and graduate levels.
Principal Accountabilities
  • Teach undergraduate courses in IT Infrastructure and Cloud Computing, Cybersecurity and related courses.
  • Develop and deliver course materials that integrate current industry practices, cloud platforms, cybersecurity frameworks, and emerging AI applications.
  • Contribute to the development and accreditation of the ISA curriculum through service activities at the departmental, college, and university levels.
  • Collaborate with other faculty and mentor Bryant students to enhance learning community and outcomes.
  • Build and maintain connections with the business community to support experiential learning and student success.
  • Serve as an active member of the Bryant University community.

Qualifications
  • Master's degree in Information Systems, Computer Science, Cybersecurity, Information Technology, Data Science, or a closely related field from an AACSB-accredited institution (or equivalent accreditation)
  • Significant professional experience in cybersecurity, IT infrastructure, cloud computing, or related fields.
  • Demonstrated teaching effectiveness at the university level.
  • Excellent interpersonal and communication skills.

Preferred Qualifications
  • Ability to teach introductory courses in Artificial Intelligence.
  • Experience with hands-on, lab-based, or experiential learning approaches.
  • Working knowledge of robotics systems and experience developing applications for humanoid robots.

Working Environment
At Bryant University, we believe that our strength lies in the richness of our campus community and the unique perspectives that shape it. By connecting academic and social experiences, we create an environment where individuals feel valued, respected, and supported. Our commitment to fostering belonging and well-being ensures that everyone has the opportunity to thrive and contribute meaningfully. We encourage applications from those who appreciate the wide range of experiences and backgrounds that make our community exceptional. Discover more about how we cultivate a welcoming and collaborative campus culture that drives excellence.
Physical Capacities
Posting Detail Information
Posting Number
FAC01630
Open Date
03/10/2026
Close Date
Open Until Filled
No
Applicant Special Instructions