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Part Time Google Data Science Jobs (NOW HIRING)

Rutgers University

$2.7K/wk

Position Information Recruitment/Posting Title Lecturers, Data Science Department Mathematics ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$112K - $257K/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 ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department ... Position Status Part Time Posting Number 26FA0415 Posting Open Date Posting Close Date ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · 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 ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/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 ...

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

Adjunct Faculty in Data Science Full-time Faculty Positions Full-time faculty positions will be ... Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ...

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All JobsGoogle Data Science JobsPart Time Google Data Science Jobs

Part Time Google Data Science information

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$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:
Part Time Google Data Science jobs near you
Data Science - AI Document Understanding, Co-op

Data Science - AI Document Understanding, Co-op

Ancestry

Remote

Part-time

Re-posted 5 days ago

Job description

About Ancestry:
When you join Ancestry, you join a human-centered company where every person's story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we've built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families.
We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.
Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.
Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people's lives? Join the curious.
Ancestry is seeking an exceptional and highly motivated AI Engineer / Data Science Co-op to join our AI Applied Science Content team. You'll play a vital role in the design and implementation of AI Native agentic systems that extract and organize text and image information from billions of historical and genealogical records, enabling customers to discover, share, and connect with their family history. The work will focus on building autonomous, multi-agent workflows capable of complex reasoning, tool use, analysis, and self-correction. You will also work closely with engineering teams to train, optimize, and deploy solutions that promote product development, customer success, and content creation across our Family History business. This is a part-time, work-study-based opportunity designed for active master's and PhD students continuing their education in the fall.
What you will do:
  • Innovate with State-of-the-Art AI: Implement cutting-edge AI solutions for key Document Understanding tasks such as OCR/HTR, transcription, Named Entity Recognition (NER), Relation Extraction (RE), Coreference Resolution, Summarization, and Knowledge Graphs working with diverse genealogical and historical collections spanning newspapers, city directories, family history books, and vital records (i.e., birth, marriage, & death records).
  • Analyze and Optimize Multi-Modal Models: Evaluate the performance of multi-modal models in zero-shot and few-shot learning scenarios for comprehensive document understanding.
  • Architect Agentic Systems: Design and implement multi-agent workflows using frameworks like LangChain, LangGraph, CrewAI, or AutoGen to automate complex multi-step reasoning tasks in historical document analysis.
  • Evaluation & Observability: Establish "LLM-as-a-Judge" frameworks and use tools like Arize Phoenix, DeepEval, or RAGAS to monitor for hallucination, drift, and bias.
  • Collaborate on Cloud Deployment: Partner closely with ML Ops and Data Science Engineers to seamlessly deploy datasets, models, and pipelines in cloud environments.
  • Communicate Insights Effectively: Clearly and confidently present your findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives.

Who You Are:
  • Currently pursuing an advanced degree (Master's or PhD preferred) in Computer Science, Data Science, Statistics, Mathematics, Linguistics, Engineering or related quantitative field with a strong data focus.
  • Specialization in AI & LLMs including familiarity with foundational models such as GPT, Gemini, Qwen, Llama, Claude, etc.
  • Experience with inference optimization, vLLM, LoRA, QLoRA, quantization, etc.
  • Familiar with embeddings, vector databases, transformer models, with software development experience.
  • Strong proficiency in Python and relevant tools and libraries, including transformer models, multi-modal models, and general NLP (e.g., Hugging Face Transformers, agentic frameworks andworkflows, LangChain, LangGraph, CrewAI, AgentCore).
  • Familiarity with cloud platforms and related AI/ML services such as Google Cloud Platform, GCP, Gemini API, Vertex AI, AWS EC2, S3, SageMaker, Model Registry, and Bedrock is a plus.

Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law. For candidates who live in San Francisco, CA, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

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