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Part Time Amazon Data Science Jobs in California

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Part Time Amazon Data Science information

Can you work part time as a data scientist?

Part time data science roles, including positions at companies like Amazon, are available and typically require skills in programming, statistics, and data analysis. These roles often offer flexible schedules and may require proficiency in tools such as Python or R, with some positions requiring prior experience or certifications. Availability depends on the company's needs and the specific job posting.

Does Amazon hire data scientists?

Yes, Amazon hires data scientists across various teams to analyze large datasets, develop machine learning models, and improve business operations. Candidates typically need strong skills in statistics, programming, and data analysis tools like Python or R, along with relevant experience or education. Data science roles at Amazon often involve working in fast-paced environments with a focus on innovation and scalability.

How much does a data scientist make at Amazon?

Data scientists at Amazon typically earn between $100,000 and $150,000 annually, depending on experience, location, and level. Entry-level roles may start lower, while senior positions with advanced skills in machine learning and data analysis can earn higher salaries, often supplemented with bonuses and stock options.

Will Amazon pay you $28 an hour to work from home?

Amazon Data Science roles are typically salaried positions that may include bonuses and benefits, but specific hourly pay rates like $28 an hour are uncommon for full-time data science jobs. Part-time data science roles at Amazon are rare and usually pay based on an hourly rate that varies by location and experience. It is advisable to review current job postings for accurate compensation details.

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:
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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 Computer Science Course Instructor

Olivet Institute of Technology

San Francisco, CA • On-site

$400 - $600/wk

Part-time

Re-posted 29 days ago

Job description

Company Description
Olivet University Website - http://www.olivetuniversity.edu/
About Olivet - http://www.olivetuniversity.edu/aboutolivet/
OIT Website - http://oit.olivetuniversity.edu/
Job Description
Olivet Institute of Technology (OIT) invites applications for an on-going pool of part-time course instructors to teach various computer science and information technology courses. Course topics include, but are not limited to, OOP & Java programming, SOA & Web Services, Software Engineering, Networking, Database and Data Mining, Operate System Design, Mobile and Cloud Computing. Instructor in Web services and Cloud Computing is in special need.
Candidates with experience to teach courses in one or more of the above areas are encouraged to apply.
Job responsibilities include but not limited to: create course syllabus; prepare and give lectures; develop, distribute, and/or grade course materials, homework, quizzes; write, proctor, and grade examinations; maintain and timely submit class records, such as attendance and grade reports.
Current Teaching Period:2015 Fall quarter (Sep ~ Dec), 4 hours class for 10 weeks.
Contract can be renewed if the student learning outcomes proves teaching effective.
Work location:Downtown San Francisco, CA
Compensation:$400~$600 per quarter unit based on qualifications and experiences. (1 hour per week for 10 weeks is one quarter unit)
Qualifications
• M.S. in Computer Science or relative fields with 5+ years of relevant professional experience
• College level teaching and/or training seminars experience preferred
• PhD in Computer Science or relative fields preferred
Additional Information
Interested applicants should submit curriculum vitae, and an interview will be arranged at the university SF downtown site as soon as possible.

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