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Temporary Google Data Science Jobs (NOW HIRING)

INMAR, Inc.

Director, Data Science

Winston Salem, NC · On-site

Expand awareness and understanding of Data Science to peers and senior leadership * Demonstrate ... Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences ...

Broughton Partners

Manager, Data Science

Savannah, GA · On-site

As Manager, Data Science, you will lead our data science function, building predictive models and ... Not required, but relevant certifications (AWS Certified Machine Learning, Google Professional Data ...

Inmar

Director, Data Science

Winston Salem, NC

Expand awareness and understanding of Data Science to peers and senior leadership * Demonstrate ... Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences ...

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 ...

Omnicom Media US PHD

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.) * Help develop ...

Dstillery

Applied Researcher, Data Science

New York, NY · On-site +1

Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI ... You should be ready to learn and work with Python, Google Cloud Platform, Scikit-learn, TensorFlow ...

LG Electronics

Network Data Analyst

Huntsville, AL · On-site

$69K - $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 Jun 1, 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 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.

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.
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What cities are hiring for Temporary Google Data Science jobs? Cities with the most Temporary Google Data Science job openings:
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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 May 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 36% Physical, 2% Hybrid, and 62% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Staff Product Data Scientist, Ads Privacy and Safety

Google

Pittsburgh, PA • On-site

Full-time

Posted 14 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

30th of 184 rated software companies

Job description

Job Summary:
Google is seeking a Staff Product Data Scientist for their Ads Privacy and Safety team. This role involves driving data-driven decision-making to ensure regulatory compliance and unlock growth opportunities within Google Ads, while safeguarding user trust and analyzing the impact of evolving regulations.
Responsibilities:
• Partner with cross-functional teams and deliver data driven insights to stakeholders across Ads, focusing on advertiser, publisher, and user trust and experience.
• Develop and implement quantitative frameworks to assess the impact of Ads safety, traffic quality, user privacy and regulatory compliance on Ads business, user experience, and product capabilities.
• Identify areas for optimization in response to evolving trends in the Ads industry and develop models to improve product features against business impact and new threats.
• Build and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for investigative need.
• Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Qualifications:
Required:
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.
Preferred:
• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• Familiarity with global privacy regulations (e.g., General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Digital Markets Act (DMA)) and their implications relevant to technology companies.
• Knowledge of financial forecasting, scenario analysis and risk assessment for Ads.
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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