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Part Time Data Scientist Jobs in Delaware (NOW HIRING)

Delaware Schools Consortium

AVA Science Teacher

Newark, DE · On-site

$47K - $60K/yr

ASPIRA Virtual Academic (AVA) Program GRADES: 1-8 STATUS: Part-Time, Up to 25 hours per week ... Use data to inform instructional decisions and improve student outcomes. * Create and maintain a ...

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All JobsData Scientist JobsPart Time Data Scientist JobsPart Time Data Scientist Jobs in Delaware

Part Time Data Scientist information

See Delaware salary details

$37.5K

$122.8K

$196.7K

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

As of Aug 10, 2026, the average yearly pay for part time data scientist in Delaware is $122,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,100.00 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.

More about Part Time Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Delaware? The most popular types of Data Scientist jobs in Delaware are:
What are popular job titles related to Part Time Data Scientist jobs in Delaware? For Part Time Data Scientist jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Part Time Data Scientist jobs in Delaware look for? The top searched job categories for Part Time Data Scientist jobs in Delaware are:
Part Time Data Scientist jobs near you
Infographic showing various Part Time Data Scientist job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.

Computer Scientist

US Department of the Air Force

Dover Air Force Base, DE • On-site

$76K/yr

Part-time

Re-posted 22 days ago

Job description

Click on "Learn more about this agency" button below for IMPORTANT additional information.
This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection.Qualifications:BASIC REQUIREMENTS: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
In addition to the basic requirements above, all applicants must meet the qualification requirements below:
SPECIALIZED EXPERIENCE:
GS-12: One year of specialized experience equivalent to the GS-11 level in the Federal service or equivalent in other pay systems that equipped me with the particular knowledge, skills and abilities (KSAs) to perform successfully the duties of this position, and that is in or related to the position to be filled. An example of this experience includes developing software systems, high-speed computing systems, real time data acquisitions systems, simulation modeling, data analysis and complex electronic instrumentation systems for testing weapon system installation. Serve as assistants to higher grade level scientists responsible for subject-matter or program areas.
GS-13: One year of specialized experience equivalent to the GS-12 level in the Federal service or equivalent in other pay systems that equipped me with the particular knowledge, skills and abilities (KSAs) to perform successfully the duties of this position, and that is in or related to the position to be filled. An example of this experience includes developing software systems, high-speed computing systems, real time data acquisitions systems, simulation modeling, data analysis and complex electronic instrumentation systems for testing weapon system installation. Serving as staff specialist for a significant segment of a subject-matter or program area. Providing technical guidance in planning, coordinating, and evaluating proposed research projects and programs of interest to the agency.
GS-14: One year of specialized experience equivalent to the GS-13 level in the Federal service or equivalent in other pay systems that equipped me with the particular knowledge, skills and abilities (KSAs) to perform successfully the duties of this position, and that is in or related to the position to be filled. An example of this experience includes developing software systems, high-speed computing systems; real time data acquisitions systems, simulation modeling, data analysis and complex electronic instrumentation systems for testing weapon system installation and developing and applying system evaluation methods and techniques to major portions of large projects of studies. Serves as staff specialist responsible for providing technical leadership and guidance in a major subject-matter, functional, or program area.
GS-15: One year of specialized experience equivalent to the GS-14 level in the Federal service or equivalent in other pay systems that equipped me with the particular knowledge, skills and abilities (KSAs) to perform successfully the duties of this position, and that is in or related to the position to be filled. An example of this experience includes developing software systems, high-speed computing systems; real time data acquisitions systems, simulation modeling, data analysis and complex electronic instrumentation systems for testing weapon system installation and developing and applying system evaluation methods and techniques to major portions of large projects of studies. Serves as staff experts and consultants.
Click on the following link to view occupational requirements for this position: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/computer-science-series-1550/
KNOWLEDGE, SKILLS AND ABILITIES (KSAs):
1. Knowledge of computer science concepts and principles of standard computer science practices, methods, and techniques to perform, following specific instructions, routine projects or minor phases of a larger or more complex project.
2. Knowledge of computer design, simulation or programming software or other appropriate software to perform routine design and analysis assignments.
3. Knowledge of computer science and related disciplines to design, develop and adapt scientific methods and techniques to recommend solutions for computer problems.
4. Ability to analyze, interpret and apply computer science procedures in a variety of situations and recommend effective solutions.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER

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