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Part Time Data Scientist Jobs in Georgia (NOW HIRING)

Our mission is to combine data science and human expertise to transform healthcare worldwide. We ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

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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 ...

Showing results 41-60

Part Time Data Scientist information

See Georgia salary details

$31.7K

$103.6K

$165.9K

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

As of Aug 20, 2026, the average yearly pay for part time data scientist in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

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 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 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 Georgia?

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

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

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

Infographic showing various Part Time Data Scientist job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Remediation & Intervention Support Teacher (Part-Time)

The Main Street Academy

College Park, GA • On-site

$30K - $46K/yr

Part-time

Re-posted 24 days ago


Job description

Position: Remediation Support Professional - Math (Part-Time)
Reports to: Principal
Work Site: The Main Street Academy; College Park, GA
Job Summary:
The Main Street Academy (TMSA) is actively seeking a stellar, data-driven, growth-minded professional to serve as a .5 FTE Remediation & Intervention Teacher focused on accelerating student achievement in Math. The ideal candidate is passionate about closing learning gaps, MTSS, RTI, building student confidence, analyzing student academic achievement data, and using targeted instructional strategies to ensure measurable academic growth.
Required Qualifications:
  • Bachelor's Degree from a regionally accredited university (Conferred)

Certification/Licensure
  • Must hold or be eligible to hold a Georgia certificate in the applicable field

Essential Duties and Responsibilities:
  • Deliver targeted intervention instruction in Reading and Math for identified students
  • Use assessment data to drive instructional planning and monitor student growth
  • Develop and implement individualized learning strategies and intervention plans
  • Collaborate with classroom teachers to align remediation efforts with grade-level standards
  • Maintain accurate student progress records and communicate updates with families and staff
  • Foster a positive, engaging, and supportive learning environment
  • Utilize research-based instructional practices and differentiated learning techniques
  • Integrates appropriate technology into classroom instruction
  • Integrate Science, Technology, Engineering, Arts/Agriculture, and Math (STEAM) based instruction with instructional objectives and standards
  • Implement Project-based Learning
  • Further, the objectives, goals, and outcomes of the Schoolwide Enrichment Model (SEM) program and Leader in Me program
  • Participate in MTSS/RTI meetings and contribute to student success planning
  • Support TMSA goals, initiatives, programs, and processes
  • Implement individual teaching, small group, or co-teaching model
  • Attend professional learning communities as deemed necessary
  • Other duties as deemed necessary by the Principal, Assistant Principals, or MTSS Coordinator

Skills and Knowledge:
  • Experienced in collaborating with teacher teams and adapting work to the needs of colleagues and students
  • Demonstrate excellent oral and written communication skills with the ability to utilize technology for communication and instruction
  • Demonstrate organizational skills and initiative for working with minimal direct supervision
  • Knowledge and experience using technology for communication, data analysis, gathering and organizing information for presentations
  • Working knowledge of current research and resources in content areas
  • Maintain confidentiality and adhere to Family Education Rights and Privacy (FERPA) requirements.

An Equal Opportunity Employer
It is the policy of TMSA, Inc. to provide educational and employment opportunities without regard to race, color, religion, creed, national origin, alienage and citizen status, age, marital status, disability, prior record of arrest or conviction (except as provided by law), sexual orientation, gender (sex), and to maintain an environment free of discriminatory harassment, including sexual harassment, or retaliation as required by civil rights law.