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Part Time Google Data Science Jobs (NOW HIRING)

Data Scientist

Washington, DC · On-site

$99K - $225K/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 ...

Data Scientist

Alexandria, VA · 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 Scientist

Alexandria, VA · 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 ...

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Showing results 1-20

Part Time Google Data Science information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 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.

Can you work part-time as a data scientist?

Yes, it is possible to work part-time as a data scientist, especially in roles that focus on project-based work or consulting. Many companies offer flexible schedules, and part-time data science positions often require skills in programming, statistics, and data analysis tools like Python or R.

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

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 are the typical day-to-day responsibilities for a part-time Data Science role at Google?

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.

Does Google have part-time jobs?

Google offers some part-time positions, including roles in data science and other technical fields, often requiring skills in programming, data analysis, and machine learning. These roles may have flexible schedules or specific project-based hours, but availability varies by location and department.

What jobs pay 4000 a week without a degree?

A part-time data science role at Google typically requires advanced skills and often a degree, making $4,000 weekly unlikely without formal education or extensive experience. Generally, high-paying jobs without a degree include specialized trades, sales, or freelance work in tech or consulting, but earning $4,000 weekly part-time is rare and usually involves significant expertise or entrepreneurial effort.

What jobs make $3,000 a day?

High-paying jobs such as data scientists, senior software engineers, and specialized consultants can earn around $3,000 or more per day, especially with advanced skills, experience, and in high-demand industries. These roles often require strong technical expertise, certifications, and the ability to work on complex projects or provide expert advice.

What are part-time Google Data Science jobs?

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 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:
Data Scientist, Mid

$61K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 14 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 58 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0241184
Location:
San Diego,CA,US
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Data Scientist, Mid
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, we need you to help find the answers in the data.
On our team, you'll use your analytical skills and data science knowledge to create real-world impact. 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. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
  • 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 2+ years of experience with statistical and general-purpose programming languages for data analysis
  • Experience analyzing structured and unstructured data sources
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
  • Knowledge of text mining or machine learning techniques
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
  • 2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • 2+ years of experience with Machine Learning, AI, or NLP
  • Experience with Palantir Foundry
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2
  • Experience with Business Intelligence (BI) or data visualization tools, such as Power BI, Tableau, or Qlik
  • TS/SCI clearance
  • Bachelor's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Computer Engineering, or Systems Engineering preferred; Master's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Business Analytics, Computer Engineering, or Systems Engineering a plus

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