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Hourly Google Data Science Jobs (NOW HIRING)

Judge Group, Inc.

GOOGLE Data Architect

Columbus, OH · Remote

$75 - $85/hr

Location: Columbus, OH Salary: $75.00 USD Hourly - $85.00 USD Hourly Description: No sponsorship or C2C for this role Must be a w2 employee of The Judge Group Google Data Architect Locations:

Prophecy Technologies

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Science * Offshore team coordination Must-Have Qualifications: * Extensive experience as a Senior Data Engineer with Google Data Engineering expertise * Strong understanding of ETL processes, data ...

Deloitte

Google Data Engineering Consultant

Rosslyn, VA · On-site

$130K - $156K/yr

This role works with engineers, data scientists, and business stakeholders to translate ... Support the development, testing, and deployment of applications and data pipelines on Google Cloud ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Experience with AWS, Azure, Google Cloud, or hybrid cloud environments. * Understanding of data ... Bachelors or Masters degree in Data Science, Computer Science, Data Engineering, Mathematics ...

Google

Data Scientist

San Bruno, CA · On-site

Bachelor's degree in Statistics, Applied Mathematics, Data Science, Business Analytics, Economics ... Learn more about benefits at Google . Position reports to the Google San Bruno, CA office & may ...

Google

Product Data Scientist, Search

Mountain View, CA · On-site

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a ... As a Data Scientist on the Google Workspace team, you will help improve the user experience and ...

Facet

Lead Data Scientist

$180K - $220K/yr

Requirements * 7+ years of experience in a data science or machine learning role * Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit ...

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Master's degree in data science, computer science, statistics, engineering, business analytics, or ... Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, ...

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

As of Jun 20, 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 30 too late for data science?

Age is not a barrier to becoming a data scientist, including for those starting at 30 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities in the field.

Can I get a job in Google as a data scientist?

Data scientist roles at Google require strong skills in machine learning, statistics, and programming languages like Python or R, along with relevant experience and a solid educational background. Candidates typically go through a rigorous interview process that assesses technical expertise, problem-solving ability, and communication skills. Having a portfolio of projects and familiarity with tools like TensorFlow or BigQuery can improve chances of hiring.

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 tools like Python, R, and SQL.

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.
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Hourly Google Data Science jobs near you

Senior Data Scientist, Research, Search Intelligence Quality

Google

Mountain View, CA • On-site

Full-time

Posted 8 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

32nd of 191 rated software companies

Job description

Job Summary:
Google is a leading technology company, and they are seeking a Senior Data Scientist to enhance the quality of their Search AI products. In this role, you will evaluate and improve the Google Search user experience by analyzing complex data sets and collaborating cross-functionally to develop metrics and methodologies for measuring quality.
Responsibilities:
• Work with large, complex data set and solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and business strategy.
• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for design, and assess improvements to Google products.
• Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Research and develop analysis methods to improve the quality of Google Search.
Qualifications:
Required:
• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Preferred:
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
• Experience working with eval data (human and AI rated).
• Strong organization, prioritization, written and verbal communication skills.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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