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Part Time Data Scientist Jobs in Springfield, MA

Baystate Health

Respiratory Therapist

Westfield, MA

Respiratory Therapist - Part Time - SIGN ON BONUS! Location : Baystate Noble - Westfield, MA ... Cardiopulmonary evaluation involves acquiring, analyzing, and interpreting data that is obtained ...

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PCX Aerosystems

Production Planner

Enfield, CT

With decades of space and defense manufacturing heritage, Applied combines deep material science ... This role will be responsible for ERP data integrity as well as the flow of the jobs throughout the ...

ATI Physical Therapy

Physical Therapy Aide

Wilbraham, MA · On-site

$17.25 - $19/hr

Experience or education in Health Services, Exercise Science, or Kinesiology. ATI provides equal ... NoSalary Range$17.25 - $19 per hourLocation/Org Data : Dept Number2029Employment Type: PART_TIME

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Part Time Data Scientist information

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$37.4K

$122.3K

$195.8K

How much do part time data scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for part time data scientist in Springfield, MA is $122,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,500.00 per year, depending on experience, location, and employer.

What Does a Part Time Data Scientist Do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

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, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

More about Part Time Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Springfield, MA? The most popular types of Data Scientist jobs in Springfield, MA are:
What are popular job titles related to Part Time Data Scientist jobs in Springfield, MA? For Part Time Data Scientist jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Part Time Data Scientist jobs in Springfield, MA look for? The top searched job categories for Part Time Data Scientist jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Part Time Data Scientist jobs? Cities near Springfield, MA with the most Part Time Data Scientist job openings:
Part Time Data Scientist jobs near you
Computer Science, Adjunct Faculty

Computer Science, Adjunct Faculty

University of Saint Joseph

West Hartford, CT • On-site

Part-time

Posted 14 days ago

Job description

Thank you for considering University of Saint Joseph in your search.

About University of Saint Joseph:

The University of Saint Joseph, founded by the Sisters of Mercy, provides a rigorous liberal arts and professional education for a diverse student population in an inclusive environment that encourages strong ethical values, personal integrity, and a sense of responsibility to the needs of society.

The University has been recognized as a top national university in Connecticut by U.S. News & World Report's Best College Rankings including being the #1 Connecticut University in "Top Performers on Social Mobility," #2 Connecticut University in "Best Value Schools," and #3 Connecticut University in "Best National Universities."

Ideally situated midway between Boston and New York City, the beautiful 90-acre Olmsted-designed campus is one mile from West Hartford's thriving downtown, and provides an array of cultural events, occasions for spiritual development, and fitness and recreational options. The University also has an active presence outside our campus, reaching into the surrounding community through internships, community service projects, new program and partnerships.

Job Description:

The University of Saint Joseph invites qualified applicants to serve as part-time adjunct faculty within the Mathematics and Computer Science Department. The department is actively recruiting adjunct faculty for the Fall 2026 semester to teach on-campus, in-person sections of the following course:

COMP117: Innovation and Technology (3 credits)

Section 01: Monday/Wednesday/Friday 8:00-8:50 a.m., from 8/26/2025 to 12/02/2026

Section 02: Monday/Wednesday/Friday 2:00-2:50 p.m., from 8/26/2025 to 12/02/2026

Catalog description: A survey course intended to introduce the role of technology in promoting and sustaining organizational innovation using an interdisciplinary approach. This is an important part of engineering, computer science, and business training. In this course students will learn the connection between innovation and problem solving, the legal and ethical responsibilities of innovation with technology, the 8- step problem solving/design method, the four types of innovation (basic research, breakthrough innovation, sustaining innovation, and disruptive innovation), the business of innovation, and an overview of innovative technologies. Topics include: Innovation and ethics, AI, IoT, augmented reality, virtual reality, blockchain, 5G communication, 3D printing, Spreadsheets and Databases, Big Data, nanotechnology, quantum computing, cybersecurity, and hyper-personalization. Materials will be drawn from the disciplines of business, computer science, engineering, ethics, science fiction, law, and education.

COMP117 is a general education course that satisfies the university competency requirement in Information Technology and attracts students from a wide range of majors. One of the important goals is to spark students’ interest in computing and introduce them to the opportunities offered by the Computer Science program.

The Mathematics and Computer Science Department in the School of Arts, Sciences, Business and Education offers B.S. degrees in Mathematics (with concentrations including Actuarial Science) and Computer Science (with concentrations including Data Science and Software development). In addition to serving Mathematics and Computer Science majors, the department offers an undergraduate certificate in data analytics and provides service courses for a variety of majors and programs across the university. We pride ourselves on our dedicated faculty and courses that are student-centered, interactive, and engaging.

Responsibilities include (but are not limited to):

  • Teach 3 credits designated as contact time with the students.
  • Prepare lectures, projects, homework, assessments, and other student assignments that align with the course syllabus.
  • Grade all student assignments in a timely manner. Provide appropriate feedback to students to promote academic success.
  • Maintain regularly scheduled office hours; Adjunct must be available a minimum of one additional hour per week, either in-person or virtually, to provide support to students.
  • Demonstrate knowledge of the current methods and practices for teaching college-level courses; present qualified and clear instruction related to the course subject.
  • Learn and utilize technology offered at USJ to facilitate teaching.
  • Meet all designated class periods in the semester as dictated by the academic calendar.
  • Submit mid-semester and final grades to the Registrar's Office within required timeframes, leave all course records with the department chairperson upon completion of the course.
  • Provide a supportive atmosphere for student success.

Qualifications:

  • Master's degree or higher in Computer Science, Information Technology, or related field. Degrees must be from a regionally accredited institution.
  • Additional qualifications include: advanced spreadsheet skills, programming experience in Python and Scratch, knowledge of basic computer architecture, HTML/CSS experience, and AI prompt engineering.
  • Commitment to the University of Saint Joseph mission.
  • Prior teaching experience strongly preferred.

Additional Information:

  • Teaching assignments are part-time, on a semester basis only and are dependent on student enrollment and department needs.
  • Regular attendance is an essential job function as it demonstrates dependability towards the performance of job duties.
  • Compensation ranges from $3000 to $3700 per course, based on experience and qualifications.

Application Instructions:

Those interested in the above position should apply online. Please submit:

  • Resume/Curriculum Vitae
  • A cover letter addressing your specific subject area strengths, interests, and any applicable teaching experience. Please also include your general availability.

The program director will review your application. If there is an opening in a subject area you are qualified to teach, the department will contact you directly to discuss the specific opportunity. Thank you for your interest in joining the University of Saint Joseph as adjunct faculty.