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Part Time Amazon Data Science Jobs in California

SLB

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 ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$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 ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

San Diego, CA

$61K - $141K/yr

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

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All JobsPart Time Amazon Data Science JobsPart Time Amazon Data Science Jobs in California

Part Time Amazon Data Science information

What is the difference between Part Time Amazon Data Science vs Part Time Amazon Data Engineering?

AspectPart Time Amazon Data SciencePart Time Amazon Data Engineering
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learning and analytics toolsDegree in Computer Science, Software Engineering, or related; experience with data pipelines and cloud platforms
Work EnvironmentAnalyzing data, building models, and deriving insightsBuilding and maintaining data infrastructure, ETL processes
Employer & Industry UsageUsed across Amazon for product recommendations, customer insightsUsed for data infrastructure, ensuring data flow for analytics

Part Time Amazon Data Science focuses on analyzing data and developing models to inform business decisions, while Part Time Amazon Data Engineering emphasizes building and maintaining data pipelines and infrastructure. Both roles require technical skills but serve different functions within Amazon's data ecosystem.

What are part time Amazon data science jobs?

Part time Amazon data science jobs are positions at Amazon where professionals work fewer hours than a typical full-time role, focusing on analyzing and interpreting complex data to help the company make informed business decisions. These roles may involve tasks such as data analysis, predictive modeling, and creating dashboards, but on a flexible or reduced schedule. Part time positions can be suitable for students, parents, or those seeking work-life balance, and often require skills in programming, statistics, and data visualization. While less common than full-time roles, part time opportunities may be available in various Amazon teams, either on-site or remotely.

How does a part-time Amazon data science role typically balance independent work with team collaboration?

In a part-time Amazon data science position, you'll often manage independent analysis tasks, such as building models or preparing datasets, on your own schedule. However, regular collaboration with full-time team members is essential, particularly for aligning on project goals, sharing progress, and integrating your work into larger solutions. Team meetings and code reviews are common touchpoints, and you may also participate in cross-functional discussions with product managers or engineers. Flexibility and strong communication skills help ensure your contributions are effectively integrated despite the part-time nature of the role.

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

To thrive as a Part Time Amazon Data Scientist, you need a solid background in statistics, data analysis, and programming (often with Python or R), supported by at least a bachelor’s degree in a quantitative field. Familiarity with big data tools (like AWS, SQL, or Spark), machine learning libraries, and data visualization platforms is typically required. Strong problem-solving, communication, and time management skills help you deliver insights and collaborate effectively within teams. These competencies are crucial for generating actionable business recommendations and managing data-driven projects efficiently, even within limited hours.
What are the most commonly searched types of Amazon Data Science jobs in California? The most popular types of Amazon Data Science jobs in California are:
What are popular job titles related to Part Time Amazon Data Science jobs in California? For Part Time Amazon Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Part Time Amazon Data Science jobs in California look for? The top searched job categories for Part Time Amazon Data Science jobs in California are:
What cities in California are hiring for Part Time Amazon Data Science jobs? Cities in California with the most Part Time Amazon Data Science job openings:
Part Time Amazon Data Science jobs near you
Part Time Faculty - Mathematics, Statistics and Data Science

Part Time Faculty - Mathematics, Statistics and Data Science

Loyola Marymount University

Los Angeles, CA • On-site

$2K/wk

Part-time

Posted 22 days ago

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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