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Part Time Google Data Science Jobs in Michigan (NOW HIRING)

$35K - $44K/yr

College of Human Sciences and Education Leadership Development Institute WAE - Leadership Program ... Google Drive, or MS Teams) - Track engagement, survey responses, and completion data - Support ...

$35K - $44K/yr

College of Human Sciences and Education Leadership Development Institute WAE - Leadership Program ... Google Drive, or MS Teams) - Track engagement, survey responses, and completion data - Support ...

$35K - $44K/yr

College of Human Sciences and Education Leadership Development Institute WAE - Leadership Program ... Google Drive, or MS Teams) - Track engagement, survey responses, and completion data - Support ...

RESEARCH ASST I (TEMP)

Ann Arbor, MI · On-site

$18.75 - $26/hr

... for scientific analysis of data is highly desirable. * 1-3 years of lab research experience ... Work Onsite Full/Part Time Part-Time Regular/Temporary Temporary FLSA Status Nonexempt ...

BCBA

Dearborn, MI · Hybrid

$85K - $95K/yr

Utilize Central Reach for client data analysis and documentation * Train BTs and QBHP?s * Teach ... Technical skills within Google Workspace (e.g., Google Sheets, Docs, Slides, etc.) Salary: $85,000 ...

Tutor Job Status: Part-time Program Information: School assignments may be located in schools in ... Academic subjects such as English, Mathematics, Science, Social Studies or other subjects as ...

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Part Time Google Data Science information

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 are the most commonly searched types of Google Data Science jobs in Michigan? The most popular types of Google Data Science jobs in Michigan are:
What cities in Michigan are hiring for Part Time Google Data Science jobs? Cities in Michigan with the most Part Time Google Data Science job openings:
RESEARCH ASST II (TEMP) For Robust Android Mobile Software Systems

RESEARCH ASST II (TEMP) For Robust Android Mobile Software Systems

University of Michigan

Flint, MI • On-site

$22/hr

Part-time

Posted 21 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

130th of 537 rated colleges and universities


Job description

Job Summary
We are seeking several well prepared and motivated students to join our team for Summer of 2026. The project sits at the intersection of modern language design, optimization, and effective prevention of critical runtime software exceptions in real world software applications, in particular those targeting Google's Android platform . You will collaborate with researchers and engineers to advance the capabilities of next-generation tooling and language features.
Responsibilities*
  • Design, develop, and maintain clean, scalable tools on top of Kotlin programming language implementation/JetBrains platform.
  • Improve Kotlin's current runtime exception handling mechanism.
  • The work may also include exploring static analysis, code generation, and type-system enhancements.
  • Participate in code reviews, technical discussions, and document implementation details on a weekly basis.

Required Qualifications*
  • Strong Programming Skills
  • Master's Degree in Computer Science or related field

Desired Qualifications*
  • Direct, hands-on working knowledge of object-oriented programming (OOP) using Kotlin is preferred
  • Strong analytical skills and experience writing testable, high-quality code highly desired
  • Being comfortable or experienced with open-source software development and related AI assistants is desired

Modes of Work
Hybrid
The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion, the employee may be required and must be available to work onsite more frequently if necessitated by unit leadership or their designee and/or the job requirements.
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.
Job Detail
Job Opening ID
278029
Working Title
RESEARCH ASST II (TEMP) For Robust Android Mobile Software Systems
Job Title
RESEARCH ASST II (TEMP)
Work Location
Flint Campus
Flint, MI
Modes of Work
Hybrid
Full/Part Time
Part-Time
Regular/Temporary
Temporary
FLSA Status
Nonexempt
Organizational Group
Flint Cit
Department
Flint Computing
Posting Begin/End Date
6/05/2026 - 6/12/2026
Salary
$22.00 - $22.00
Career Interest
Temporary Job Opening

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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