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Part Time Google Data Science Jobs (NOW HIRING)

Harley-Davidson

Mgr Data Science

Milwaukee, WI · On-site

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Join our team as a Mgr Data Science. Job Summary The Manger of Data Science will lead the ...

Harley-Davidson

Mgr Data Science

Milwaukee, WI · On-site

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Join our team as a Mgr Data Science. Job Summary The Manger of Data Science will lead the ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

iSpot

Data Science Intern

Bellevue, WA · On-site

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

As a Data Science Engineer, you'll help build advanced technology solutions and implement data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

UH Hilo, Hilo, HI Job Type: Part-Time Temporary Job Number: 2026-01086 Department: University of ... Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ...

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Part Time Google Data Science information

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How much do part time google data science jobs pay per year?

As of Jun 21, 2026, the average yearly pay for part time google data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is it possible to work part-time as a data scientist?

Part-time data scientist roles are available in some organizations, often requiring skills in programming, statistics, and data analysis tools like Python or R. These positions typically involve flexible schedules but may have limited responsibilities compared to full-time roles.

What are the key skills and qualifications needed to thrive as a Part Time Google Data Scientist, and why are they important?

To thrive as a Part Time Google Data Scientist, you need strong analytical skills, proficiency in statistics, and a background in computer science, mathematics, or a related field. Hands-on experience with tools like Python, R, SQL, and machine learning libraries, as well as familiarity with Google Cloud Platform, is typically required. Effective communication, problem-solving abilities, and collaboration are essential soft skills for sharing insights and working with cross-functional teams. These skills are crucial for generating actionable data-driven solutions that drive impactful business decisions at Google.

Does Google hire part-time employees?

Google generally hires full-time employees for most roles, including data science positions. However, the company occasionally offers part-time or contract roles in various departments, which may require specific skills such as data analysis, programming, and familiarity with tools like Python or SQL. Availability of part-time positions varies by location and business needs.

What are the typical day-to-day responsibilities for a part-time Data Science role at Google?

In a part-time Data Science position at Google, you can expect to work on analyzing datasets, building and validating predictive models, and collaborating with cross-functional teams such as engineering and product management. Your daily tasks may include cleaning and preprocessing data, running experiments, and presenting findings to both technical and non-technical stakeholders. Part-time roles often focus on well-defined projects, which allows for flexible scheduling while still contributing meaningfully to the team's goals.

What are part-time Google Data Science jobs?

Part-time Google Data Science jobs are roles at Google where employees work fewer hours than a standard full-time schedule, typically focusing on analyzing large datasets, building models, and supporting data-driven decision-making. These positions offer flexibility for students, parents, or professionals seeking work-life balance while still contributing to impactful projects. Responsibilities may include data cleaning, statistical analysis, and collaborating with cross-functional teams to improve Google's products and services. Part-time roles may be project-based or ongoing and can sometimes be remote or hybrid depending on the team's needs.

Is 40 too late for data science?

Part-time data science roles are accessible at various ages, and age is generally not a barrier to entering the field. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age, and demonstrating your ability to analyze data effectively.

Can I get a job in Google as a data scientist?

Getting a data scientist position at Google typically requires a strong background in data analysis, machine learning, and programming skills in languages like Python or R. Candidates often need relevant experience, a solid educational background, and proficiency with tools such as TensorFlow or BigQuery. Competition is high, and roles usually demand a combination of technical expertise and problem-solving ability.

What is the difference between Part Time Google Data Science vs Part Time Data Analyst?

AspectPart Time Google Data SciencePart Time Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; often certifications in machine learning or data analysisDegree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentTech companies, consulting firms, or startups; focus on machine learning, predictive modelingBusiness, marketing, or finance sectors; focus on reporting, data visualization
Employer & Industry UsagePrimarily in tech industry, especially Google or similar companiesAcross various industries including finance, healthcare, retail

Part Time Google Data Science roles focus on advanced machine learning and data modeling, often requiring specialized skills and working in tech environments. In contrast, Part Time Data Analyst roles emphasize data reporting, visualization, and business insights, applicable across diverse industries.

What cities are hiring for Part Time Google Data Science jobs? Cities with the most Part Time Google Data Science job openings:
What are the most commonly searched types of Google Data Science jobs? The most popular types of Google Data Science jobs are:
What states have the most Part Time Google Data Science jobs? States with the most job openings for Part Time Google Data Science jobs include:
Part Time Google Data Science jobs near you
AAR Data Science Fellow

AAR Data Science Fellow

Association of American Railroads

Washington, DC • On-site

Part-time

Posted 15 days ago

Job description

Data Science Fellowship

The Policy & Economics (P&E) Division of the Association of American Railroads is pleased to invite applications for the Data Science Ph.D. Fellowship for the year 2025-2026. This fellowship offers a unique opportunity for Ph.D. students or experienced professionals interested in data management, analysis, and visualization projects related to the railroad industry and its regulatory requirements.

About the Fellowship:

The Data Science Fellowship aims to provide data science professionals with hands-on experience and collaborative opportunities to enhance their skills. Successful candidates will work part-time for one year, engaging in activities at the intersection of data science methods and scholarly domains utilizing data science for knowledge discovery and creation. Fellows will contribute to P&E's data modernization effort and will have the opportunity to contribute to AAR's recurring reports and publications, gaining valuable expertise in the railroad industry. The selected candidate will partner with economists and analysts to understand business process flow and the associated data flow, inputs, and outputs to derive a connected design.

Key Details:

  • Part-time appointment (24 hours/week, onsite) for one year with the possibility of appointment extension for another year.
  • Annual stipend commensurate with experience
  • Mentorship and career support provided
  • Opportunity to contribute to data modernization efforts, develop impactful visualizations and dashboards, and gain specialized knowledge of the railroad industry by supporting AAR's recurring reports, ensuring timely delivery and high standards of quality and clarity.

Apply