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Part Time Data Science Jobs in Connecticut (NOW HIRING)

Amwins

Analytics & AI Intern

Windsor, CT · On-site

$22/hr

Local applicants who can commute to our Windsor, CT office for this in-person, part-time role. • Currently pursuing a bachelor's or master's degree in computer science, Data Science, Business ...

Amwins

Analytics & AI Intern

Windsor, CT

$22/hr

Local applicants who can commute to our Windsor, CT office for this in-person, part-time role. · Currently pursuing a bachelor's or master's degree in computer science, Data Science, Business ...

City of New Haven

Librarian, Part Time

New Haven, CT · On-site

$21/hr

... items), data loading, and authority file maintenance. All Library positions serve a diverse ... A Masters Degree in Library Science from a graduate program accredited by the American Library ...

The Best Bees Company

Beekeeper - Part Time

Hartford, CT · On-site

$22 - $25/hr

Our field operations team is made up of dedicated environmentalists working to support scientific ... The Best Bees Company has developed innovative approaches and data that are now used by such ...

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All JobsData Science JobsPart Time Data Science JobsPart Time Data Science Jobs in Connecticut

Part Time Data Science information

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.
More about Part Time Data Science jobs
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What job categories do people searching Part Time Data Science jobs in Connecticut look for? The top searched job categories for Part Time Data Science jobs in Connecticut are:
What cities in Connecticut are hiring for Part Time Data Science jobs? Cities in Connecticut with the most Part Time Data Science job openings:
Part Time Data Science jobs near you
Computer Science, Adjunct Faculty

Computer Science, Adjunct Faculty

University of Saint Joseph

West Hartford, CT • On-site

Part-time

Re-posted 3 hours 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.