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Hourly 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 ...

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

As of May 31, 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 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.

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.

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

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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