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Part Time Google Data Science Jobs (NOW HIRING)

John Deere

Data and Analytics (CA) Title: Part-Time Student - Data Science and Analytics - Urbandale, IA or Austin, TX - 122125 Onsite/Remote: Onsite Position Note: Relocation assistance is not provided. The ...

John Deere

Data and Analytics (CA) Title: Part-Time Student - Data Science and Analytics - Urbandale, IA or Austin, TX - 122125 Onsite/Remote: Onsite Position Note: Relocation assistance is not provided. The ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status.

Rutgers University

$2.7K/wk

Position Information Recruitment/Posting Title Lecturers, Data Science Department Mathematics ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

John Deere

$15 - $40/hr

Data and Analytics (CA) Title: Part-Time Student - Data Science and Analytics - Austin, TX or Urbandale, IA - 121636 Onsite/Remote: Onsite Position Note: Relocation assistance is not provided. The ...

John Deere

$15 - $40/hr

Data and Analytics (CA) Title: Part-Time Student - Data Science and Analytics - Austin, TX or Urbandale, IA - 121636 Onsite/Remote: Onsite Position Note: Relocation assistance is not provided. The ...

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All JobsData Science JobsPart Time JobsPart Time Google Data Science Jobs

Part Time Google Data Science information

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$37.5K

$122.7K

$196.5K

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

As of Sep 11, 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.

What is a part time Google data science job?

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.

What does a part time Google data scientist do?

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 skills and qualifications are needed for a part time Google data scientist?

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.

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

Part-time Faculty - Health Data Science & AI

Saint Louis, MO • On-site

Saint Louis University
Colleges, Universities, and Professional Schools • 5 - 10K employees
Learn more about Saint Louis Universityexternal

$57K - $57K/yr

Part-time

Re-posted 6 days ago

Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.
Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine
Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine
Position Summary
The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professor positions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.
Primary Responsibilities
Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:
  • Privacy, Ethics, Regulation & Policy
  • Introduction to Artificial Intelligence
  • Predictive Modeling and Machine Learning
  • Image Processing and Deep Learning
  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models
  • Reinforcement Learning for Clinical Decision Making
  • Telehealth & Telemedicine
  • AI for Precision Medicine & Genomics & Diagnostics
  • Research in Medicine

Additional responsibilities include:
  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications
Required:
  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.
  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.
  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).
  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:
  • Experience teaching graduate courses in AI, data science, or health informatics.
  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.
  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.
  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details
  • Type: Adjunct, non-tenure track
  • Rank: Assistant or Associate Professor (commensurate with qualifications)
  • Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available)
  • Start Date: Ongoing recruitment for upcoming academic terms

Application Instructions
Interested applicants should submit:
  • A cover letter outlining teaching interests and relevant experience
  • Curriculum vitae (CV)
  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.
Function
Faculty - Adjunct
Scheduled Weekly Hours:
20
Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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