ZipRecruiter

Log In

1

Hourly Google Data Science Jobs (NOW HIRING)

AECOM

Reporting Data Scientist

Sacramento, CA

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

AECOM

Reporting Data Scientist

Sacramento, CA

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

KPMG

Lead Specialist, Federal Data Science

Mclean, VA · On-site

Build / manage production-ready data science product lifecycles, continuous delivery and automation ... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ...

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ... Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation ...

Google

Senior Research Data Scientist

Mountain View, CA · On-site

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research ... About the job Google is one of the pioneers of modern digital advertising, and the enabler of a ...

LG Electronics

Network Data Analyst

Huntsville, AL · On-site

$55K - $73K/yr

Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to ... Bachelor's degree in Business, Economics, Data Science, or a related field (Data Analytics ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Five9

Vice President, Data Science

San Ramon, CA

The data science team is very much applied - their work directly makes its way into real products ... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ...

Five9

OR

... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ... Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ...

Tatari

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

next page

Showing results 1-20

All JobsHourly Google Data Science Jobs

Hourly Google Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do hourly google data science jobs pay per year?

As of Jul 11, 2026, the average yearly pay for hourly 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.

What is the hourly rate for a data scientist?

The hourly rate for a data scientist varies based on experience, location, and industry, but typically ranges from $30 to $100 per hour. Entry-level data scientists may earn closer to the lower end, while experienced professionals with specialized skills in machine learning and data analysis tools can command higher rates.

What are the typical daily responsibilities of an Hourly Google Data Science role?

As an Hourly Google Data Science professional, you can expect to work on data cleaning, exploratory data analysis, and supporting ongoing projects with statistical insights. Your day may involve collaborating with product managers and engineers to define metrics, analyze user behavior, and present findings through clear visualizations. Because the role is hourly, tasks are often project-based with a strong emphasis on timely deliverables and adapting to shifting priorities. Collaboration tools and regular check-ins help ensure alignment with the team and project goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as an Hourly Google Data Scientist, and why are they important?

To thrive as an Hourly Google Data Scientist, you generally need strong analytical skills, a background in statistics or computer science, and experience with data modeling and analysis. Familiarity with programming languages like Python or R, as well as tools such as SQL, TensorFlow, and Google Cloud Platform, is typically required. Exceptional problem-solving abilities, communication skills, and a collaborative mindset help individuals stand out in this role. These skills are crucial for extracting actionable insights from data, effectively presenting findings, and driving impactful decisions within Google's fast-paced environment.

How much does Google pay a data scientist?

Google data scientists typically earn an average salary ranging from $120,000 to $170,000 per year, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring proficiency in machine learning, programming, and data analysis tools.

What is an Hourly Google Data Science job?

An Hourly Google Data Science job refers to a data science role at Google where an individual is compensated based on the number of hours worked, rather than receiving a fixed annual salary. These positions may be contract-based, freelance, or part of a temporary staffing arrangement. Hourly data scientists at Google typically analyze large datasets, build predictive models, and help inform business decisions using statistical and machine learning techniques. This role requires strong analytical skills, programming expertise, and familiarity with tools such as Python, R, and SQL. It can be a good option for those seeking flexible work arrangements or project-based employment.
More about Hourly Google Data Science jobs
What cities are hiring for Hourly Google Data Science jobs? Cities with the most Hourly 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 Hourly Google Data Science jobs? States with the most job openings for Hourly Google Data Science jobs include:
What job categories do people searching Hourly Google Data Science jobs look for? The top searched job categories for Hourly Google Data Science jobs are:
Hourly Google Data Science jobs near you
Senior Product Data Scientist, Pixel

Senior Product Data Scientist, Pixel

Google

Mountain View, CA • On-site

Full-time

Posted 9 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of work experience with a Master's degree.
  • Experience consulting, and applying statistical modeling or machine learning techniques to product or business problems.

Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
  • Experience presenting analytical findings and strategic narratives to executive leadership and cross-functional stakeholders.

About the job
As a Senior Product Data Scientist, you will join the Pixel Data Science team, acting as a critical thought partner to product, engineering, and executive leaders within the centralized devices and services organization. You will leverage data, advanced statistical modeling, and business acumen to drive critical product decisions and optimize performance for Google Pixel phones, watches, and earbuds.
In this role, you will lead end-to-end analytical work streams, build causal models to understand user engagement, and perform analysis on core Pixel technologies like AI and Gemini. If you are strategic, entrepreneurial minded, and passionate about leveraging data to influence the direction of hardware products, we want to hear from you.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Partner cross-functionally with Product Management, Strategy, Marketing, Sales, and Executive teams to translate complex business and product challenges into analytical solutions.
  • Perform in-depth analyses and experiment design across key Pixel product areas, including camera, Gemini, and AI features, to identify strategic improvement opportunities.
  • Build predictive and causal models to understand user engagement, churn, and loyalty patterns across the Pixel ecosystem.
  • Develop and maintain end-to-end data pipelines, predictive workflows, and automated analytical dashboards to track and report on key performance indicators at scale.
  • Mentor junior data scientists and lead the development of AI agents and custom analytical tools to scale team capabilities.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply