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Part Time Google Data Science Jobs in California

WeVote is a movement of over 120 active passionate, part-time volunteers (starting with the ... Bachelor's degree in Marketing, Data Science, Computer Science, or a related field. * 1-2 years of ...

Data Scientist

Monterey, CA · On-site

$77K - $176K/yr

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

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Physical Design Lead, ASIC

Sunnyvale, CA · On-site

$159K - $164K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related ... Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

AI Solutions Architect

Menlo Park, CA · On-site

$228K - $231K/yr

Full-time or part-time: Full-time Job title: AI Solutions Architect Job Location: 640 W California ... Participate in data science, artificial intelligence, machine learning, and industrial analytics ...

$70.84 - $86.11/hr

... Sciences FTE: SUMMARY Under administrative leadership, it is the responsibility of part time ... If you are working on Google Docs or Mac files please be sure to save under .doc or PDF for file to ...

Data Analyst

San Diego, CA · On-site +1

$61K - $141K/yr

Experience performing data science and predictive analytics using tools such as Pandas, Polars ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Google Data Science information

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 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 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 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 California? The most popular types of Google Data Science jobs in California are:
What cities in California are hiring for Part Time Google Data Science jobs? Cities in California with the most Part Time Google Data Science job openings:

Part Time Faculty - Mathematics, Statistics and Data Science

Loyola Marymount University

Los Angeles, CA • On-site

$2.5K/wk

Part-time

Re-posted 18 days ago


Loyola Marymount University rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

10th of 614 rated colleges and universities


Job description

Loyola Marymount University's Frank R. Seaver College of Science and Engineering is collecting resumes of potential applicants for future Part-Time faculty positions in the Department of Mathematics, Statistics and Data Science. There may not be openings at this time, but your application will be kept on file. Current applications will be reviewed as openings occur. The position, when needed, is assumed to be a one-semester appointment, normally to teach 1-2 courses.
The Department of Mathematics, Statistics and Data Science serves approximately 75 majors and 50 minors across programs in Mathematics, Applied Mathematics and Statistics and Data Science. In addition, we teach many courses required by other majors across the university. Lecturers are typically hired to teach courses such as Algebra, Precalculus and Calculus; other courses may be available depending upon qualifications and experience. Additional information about the department, curriculum, courses, and faculty/staff is available online at https://cse.lmu.edu/department/math/.
Job Responsibilities
The following is a non-exhaustive list of instructor job responsibilities: prepare and distribute a course syllabus; prepare and lead class sessions; hold regular office hours and answer student questions; develop, distribute, and/or grade discussion materials, homework, quizzes, and other course materials; write, proctor, and grade midterm and final examinations; maintain and timely submit class records, such as attendance and grade reports; attend meetings and training, as needed; and comply with all university standards and requirements.
Minimum Qualifications
Prior teaching experience is preferable. Must have the ability to use browser-based software services, and standard classroom and office equipment. Position requires excellent oral and written communication and interpersonal skills. Must possess ability to, and genuine interest in, meeting the educational needs of students, and sensitivity to, and understanding of, the diverse academic, socioeconomic, and cultural/ethnic backgrounds of the students.
Required Education
A master's or doctorate level degree.
Special Instructions
Apply online at https://jobs.lmu.edu. A completed application consists of:
A current CV/resume
Cover Letter
Statement of Teaching
References - 3 references required
Minimum salary is $2,517 per unit taught.
Faculty Regular
Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

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