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Temporary Google Data Science Jobs (NOW HIRING)

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, ...

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Qualifications : Required : • Master's degree in data science, computer science, statistics ... Preferred : • Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data ...

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

As of Jun 20, 2026, the average yearly pay for temporary 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 are temporary Google data science jobs?

Temporary Google data science jobs are short-term positions at Google where professionals work on data-driven projects, such as analyzing large datasets, building predictive models, and providing actionable insights. These roles often last from a few months up to a year and can be part of contract work, internships, or project-based assignments. Temporary data scientists at Google collaborate with teams across the company to solve complex problems, improve products, and support decision-making. These positions usually require strong analytical skills, experience with programming languages like Python or R, and familiarity with machine learning techniques.

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

To thrive as a Temporary Google Data Scientist, you need strong analytical skills, expertise in statistics, and a solid foundation in programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks, big data tools like SQL and TensorFlow, and experience with data visualization platforms such as Tableau are highly valuable. Strong problem-solving abilities, adaptability, and effective communication skills are crucial for collaborating on fast-paced projects and presenting findings to diverse stakeholders. These competencies enable data-driven decision-making and ensure impactful contributions within a dynamic, innovative environment.

What are some typical challenges faced by data scientists in temporary roles at Google?

Temporary data scientists at Google often face the challenge of quickly onboarding to new projects and adapting to the company's fast-paced environment. Since assignments are time-bound, there’s a need to rapidly understand existing data infrastructure, collaborate with diverse teams, and deliver actionable insights within tight deadlines. Additionally, building rapport with permanent staff and accessing proprietary data or tools can require extra initiative. However, these challenges provide valuable exposure to Google’s cutting-edge practices and can significantly enhance your professional network and skill set.
More about Temporary Google Data Science jobs
What cities are hiring for Temporary Google Data Science jobs? Cities with the most Temporary 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:
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What job categories do people searching Temporary Google Data Science jobs look for? The top searched job categories for Temporary Google Data Science jobs are:
Temporary Google Data Science jobs near you
Infographic showing various Temporary Google Data Science job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

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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