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Part Time Data Science Jobs in Connecticut (NOW HIRING)

IQVIA

MedTech

Hartford, CT

$39 - $42/hr

We believe in pushing the boundaries of human science and data science to make the biggest impact ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

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 ...

Compass Group

JANITOR (PART TIME)

North Haven, CT

$20/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Trinity Health

Nursing Assistant PT Days

Hartford, CT · On-site

$31K - $41K/yr

Collect and report patient information and data * Help patients with activities of daily living ... Health Sciences with at least one clinical completed OR significant previous healthcare related ...

Trinityhealth

Nursing Assistant PT Days

Hartford, CT · On-site

$31K - $41K/yr

Collect and report patient information and data * Help patients with activities of daily living ... Health Sciences with at least one clinical completed OR significant previous healthcare related ...

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

Part Time Data Science information

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.
More about Part Time Data Science jobs
What are the most commonly searched types of Data Science jobs in Connecticut? The most popular types of Data Science jobs in Connecticut are:
What are popular job titles related to Part Time Data Science jobs in Connecticut? For Part Time Data Science jobs in Connecticut, the most frequently searched job titles are:
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
Infographic showing various Part Time Data Science job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Part-Time Faculty of Business Analytics - BAT 3302-1 - Data Science

Trinity College Dublin

Hartford, CT • On-site

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Family Group:
Faculty
Time Type:
Part time
Department/Office:
Finance and Business Analytics
Exemption Status:
Exempt
Job Description:
Trinity University is seeking a Part-Time Faculty for the Fall 2026 semester to teach the following course(s):
BAT3302-001: Data Science
DUTIES AND RESPONSIBILITIES
Typical responsibilities of part-time faculty members include but are not limited to:
  • Developing the course syllabus and ensuring that the syllabus meets departmental and University standards
  • Designing and delivering lectures, discussions, in-class activities, and assignments focused on the storage, retrieval, and analysis of data sets. This course places strong emphasis on data wrangling using Python and the practical application of specialized software, computational techniques, and algorithms to real-world business and analytical scenarios. The ideal candidate combines academic grounding in data science methods with hands-on industry experience applying these tools to solve practical problems.
  • Grading assigned papers, quizzes, and exams
  • Assigning early, midterm, and final grades in compliance with University deadlines
  • Maintaining office hours as directed by the department chair or program director
  • Making student accommodations as determined by the Office of Student Accessibility Services
  • Adhering to all instructional policies as published in the Faculty Handbook and the Courses of Study Bulletin

QUALIFICATIONS
EDUCATION
Required:
  • Master's degree in Data Science, Business Analytics, Computer Science, Statistics, or a closely related field

Preferred:
  • Ph.D. in Data Science, Business Analytics, Computer Science, Mathematics, Statistics, or a closely related field

EXPERIENCE
Required:
  • Professional or applied experience in data analysis, data wrangling, or working with large data sets
  • Proficiency in Python

Preferred:
  • Prior university-level teaching experience, particularly in analytics or data science courses
  • Evidence of impactful teaching practice demonstrated through submission of sample teaching materials and student evaluations.
  • Industry experience applying data science techniques to business decision-making
  • Familiarity with data visualization tools and learning management systems (e.g., Canvas, Blackboard)

KNOWLEDGE/SKILLS/ABILITIES
The ideal candidate will demonstrate:
  • Mastery of the relevant subject matter
  • Ability to deliver engaging lectures, discussions, or in-class activities
  • Ability to design rigorous and meaningful assignments
  • Commitment to the liberal arts mission of Trinity University

HOW TO APPLY
For internal applicants, please apply through Workday using the 'Jobs Hub' application, see instructions provided here.
For external applicants, when starting the application, select "Apply Manually." Only complete fields with a red asterisk, which are required. Please create your Workday application account using a personal email address, as you will need to maintain access to this account throughout the pre-hire process, if selected.
For all applicants, you do not need to complete the "(Work) Experience," "Education," "Certifications," or "Languages" fields - these details will be provided in your curriculum vitae.
In the "Application Documents" field, please upload the following four files, each as a separate pdf file [note: a maximum of five (5) files can be uploaded]:
File 1: Cover letter
File 2: Curriculum vitae or resume
File 3: Names and contact information for three professional references
File 4: Portfolio of teaching materials and student evaluations
CONTACT INFORMATION
All inquiries and questions should be addressed to Diana Young, Department Chair, dyoung1@trinity.edu.
Please ensure that all required documents are uploaded prior to submitting an application. If you have revisions needed to an application already submitted or need help submitting an application, please contact Human Resources at 210-999-7507 or email humanresources@trinity.edu.

Apply