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Part Time Data Scientist Jobs in Connecticut (NOW HIRING)

... 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 ...

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 ...

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 ...

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 ...

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 ...

Nursing Assistant PT Days

Hartford, CT

$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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Part Time Data Scientist information

See Connecticut salary details

$35.7K

$116.8K

$186.9K

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

As of Aug 15, 2026, the average yearly pay for part time data scientist in Connecticut is $116,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 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 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 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 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.

What are the most commonly searched types of Data Scientist jobs in Connecticut?

The most popular types of Data Scientist jobs in Connecticut are:

What are popular job titles related to Part Time Data Scientist jobs in Connecticut?

For Part Time Data Scientist jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Part Time Data Scientist jobs in Connecticut look for?

The top searched job categories for Part Time Data Scientist jobs in Connecticut are:

What cities in Connecticut are hiring for Part Time Data Scientist jobs?

Cities in Connecticut with the most Part Time Data Scientist job openings:

Infographic showing various Part Time Data Scientist job openings in Connecticut as of August 2026, with employment types broken down into 100% Part Time. Highlights an 97% In-person, and 3% Hybrid job distribution, with an average salary of $116,759 per year, or $56.1 per hour.

$125K/yr

Part-time

Posted 12 days ago


Job description

The Data Scientist-Northeast Program Evaluation Center (NEPEC) is organizationally part of the VA Central Office (VACO) Office of Mental Health and Suicide Prevention (OMHSP). This position is in direct communication with OMHSP, as well as the Director and Associate Directors of NEPEC. The primary purpose of this position is to evaluate VA specialized mental health systems.Qualifications:Applicants pending the completion of educational or certification/licensure requirements may be referred and tentatively selected but may not be hired until all requirements are met.
Basic Requirements:
  • United States Citizenship: Non-citizens may only be appointed when it is not possible to recruit qualified citizens in accordance with VA Policy.
  • English Language Proficiency. In accordance with 38 U.S.C. 7402(d), no person shall serve in direct patient care positions unless they are proficient in basic written and spoken English.
Individual Occupational Requirements:
  • Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. (Transcript must be submitted).
OR
  • Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph above, plus additional education or appropriate experience.
AND
Time-In-Grade Requirement:
  • Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements by the closing date of this announcement. For a GS-13 position you must have served 52 weeks at the GS-12. The grade may have been in any occupation, but must have been held in the Federal service. An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials. If the most recent SF-50 has an effective date within the past year, it may not clearly demonstrate you possess one-year time-in-grade, as required by the announcement. In this instance, you must provide an additional SF-50 that clearly demonstrates one-year time-in-grade. Note: Time-In-Grade requirements also apply to former Federal employees applying for reinstatement as well as current employees applying for Veterans Employment Opportunities Act of 1998 (VEOA) appointment.
You may qualify based on your experience and/or education as described below:
  • Specialized Experience GS-13: You must have one year of specialized experience equivalent to at least the next lower grade GS-12 in the normal line of progression for the occupation in the organization. Examples of specialized experience would typically include, but are not limited to: Conduct program evaluation projects involving large and complex healthcare data sets, Develop and maintain electronic program monitoring tools for wide dissemination of data, Expertise with natural language processing to analyze data and interpret results.
You will be rated on the following Competencies for this position:
  • Analytical Thinking
  • Attention to Detail
  • Customer Service
  • Data Management
  • Database Administration
  • Database Management Systems
  • Decision Making
  • Flexibility
  • Integrity/Honesty
  • Interpersonal Skills
  • Learning
  • Reasoning
  • Research
  • Self-Management
  • Stress Tolerance
  • Teamwork

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Note: A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.
Preferred Experience:
The Incumbent will conduct program evaluation projects involving large and complex healthcare data sets using knowledge about multiple fields of research that bridge diverse disciplines.
Projects will require expertise to analyze data, and interpret results. Responsibilities include working on national work groups, providing technical support, implement OMH initiatives, serving as a liaison to other program offices, and write programs that use extremely large relational datasets to create complex measurements, analyze measurements, and summarize measurement data. Program evaluation includes, but are not limited to locate data and write SQL code to accurately identify a patient cohort of interest in VA's corporate data warehouse (CDW) and populate a table for this cohort with diverse data such as demographics, diagnoses, appointments, and VHA encounters.
Develops and maintains electronic program monitoring tools for wide dissemination of data inside and outside VA, including to VA Central Office, Office of Informatics and Analytics, professional organizations, and the public. These monitoring tools will include interactive reports and dashboards with the use of advanced data visualization software (e.g., Microsoft Power BI or SQL Server reporting Services).
The incumbent actively participates in national initiatives involving data syndication and data interoperability and collaborates with internal and external subject matter and data experts in data innovation and migration projects. Specifically, the data scientist will be heavily involved in VA's efforts to transition from VistA to the Federal electronic health record (EHR), a project of national significance. The incumbent may provide technical and scientific supervision of the work of staff assigned to these projects and monitor progress toward project goals and deadlines.
Attend conference calls or briefings about relevant activities in lieu of the Director or Deputy Director, review materials, and report on these activities.
This is a full performance level, non-supervisory position that is located in the Northeast Program Evaluation Center, which is within the Office of Mental Health (OMH), VA Central Office. The position reports to the NEPEC Deputy Director and works directly with senior leadership of the office.
The purpose of this position is to serve as a senior data scientist within NEPEC and advise the NEPEC leadership and others on a broad range of issues related to health care data. This position is to evaluate VA mental health systems, oversee and develop procedures, guidelines to enhance program monitoring and support the strategic priorities of the OMH. The range of activities includes ensuring that data products are continuously accessible, and engages in inter-agency collaboration, program evaluation with various health care data and participates in strategic planning around VHA's health care data.
The incumbent must be able to formulate projects related to clinical services, define data management and data syndication standards for assessing novel data infrastructure, and investigate and resolve unusual and highly technical problems with big health care data. To be successful, the incumbent must work productively with diverse elements outside VA (e.g., GAO, other Federal agencies, Oracle, and academic institutions), and advise leadership on communicating with these external stakeholders.
Reference: For more information on this qualification standard, please visit https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.
Physical Requirements: Sedentary, some walking, sitting, standing and carrying of light items.Education:Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.Employment Type: OTHER