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Temporary 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 ...

WSP

Intermediate Professional, Data Science

Herndon, VA · On-site

Use tools such as Tableau, Looker, and Google Data Studio to aggregate data from the ERP and other ... scientist/analyst. * Familiarity with business intelligence tools (e.g. Tableau), and big data ...

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 ...

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 ...

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 ...

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

As of Jul 12, 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.
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Temporary 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 10 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.

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