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Part Time Amazon Data Science Jobs in California

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA

$61K - $141K/yr

Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

IT Project Manager

Monterey, CA · On-site

$109K - $129K/yr

You will oversee the delivery of data engineering, data science, research, and enterprise platform ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Capital Staffing, Inc

Be Seen First

Part Time Receptionist

Rancho Cordova, CA · On-site

$20/hr

Perform data entry, filing, and document proofreading to ensure accuracy and organization * Utilize ... scientific, manufacturing and IT professionals across various industries. Capital Staffing, Inc ...

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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
Data Analyst

Data Analyst

BOOZ, ALLEN & HAMILTON, INC.

San Diego, CA

$61K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 25 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description

Data Analyst
The Opportunity:
As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data analyst like you to bring your knowledge to the Navy.
As a client-facing data analyst on our team, you'll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you'll also advise your client on what the information means and how it can be used to make an impact on DoW acquisition programs and help accomplish project goals within budget as we improve IT capabilities for the military.
Work with us to help drive large-scale business and process decisions through data insights.
Join us. The world can't wait.
You Have:
  • 4+ years of experience working with DoW clients such as NAV WAR
  • 2+ years of experience with Tableau
  • 2+ years of experience with programming languages such as Python, R, or SQL, for data manipulation and analysis
  • 2+ years of experience with data engineering in Databricks or Spark
  • Experience using Power Apps such as Canvas Apps
  • Experience using Power Automate
  • Ability to be self-motivated and pay strict attention to detail
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with data visualization tools such as Power BI, Matplotlib, and Seaborn
  • Experience building or maintaining data pipelines
  • Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow, and R
  • Knowledge of AI engineering
  • Possession of strong analytical, problem-solving, and critical thinking skills
  • Databricks or Power BI Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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