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Hourly Google Data Science Jobs (NOW HIRING)

Deloitte

Google Data Engineering Consultant

Arlington, VA · On-site

$131K - $158K/yr

Required : • Bachelor's degree in Computer Science, Data Science, Information Systems ... Preferred : • Google certifications preferred • Experience with Vertex AI, application ...

Apogee Engineering, LLC

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

Google Data Analytics Professional Certificate; IBM Data Science Professional Certification. Qualifications Minimum Experience: Citizenship: Must be a US citizen Clearance: Must have and be able to ...

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Judge Group, Inc.

GOOGLE Data Architect

Columbus, OH · On-site

$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:

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 ...

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

As of Jul 11, 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 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

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 machine learning, programming, and data analysis tools.

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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Data Scientist, GenAI Strategy and Operations, DeepMind

Google DeepMind

Mountain View, CA • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
Google DeepMind is a pioneering AI lab focused on advancing AI development to solve complex global challenges. The Data Scientist role involves using analytical excellence to shape business strategies by processing and interpreting large datasets, collaborating with various teams to enhance operational efficiency and decision-making.
Responsibilities:
• Partner closely with cross-functional leadership to define core operational hypotheses and design metric frameworks.
• Develop, deploy, and scale intuitive, self-service analytical dashboards (PLX, Tableau, or Google Data Studio) to enable real-time monitoring of organizational health and KPIs for stakeholders.
• Programmatize workflows, manage resource dependencies, proactively mitigate risks, and collaborate across internal teams to ensure operational rhythm and milestone execution.
• Act as a trusted advisor to senior leadership by synthesizing complex quantitative findings into clear, narrative-driven presentations. Communicate technical and statistical insights effectively to influence strategic decision-making.
• Apply advanced data science methodologies to evaluate organizational design, productivity, and spending patterns, translating data into insights.
Qualifications:
Required:
• Bachelor's degree in Business Analytics, Information Technology, Computer Science, Data Science, a related field, or equivalent practical experience.
• 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• 5 years of experience in a consulting role developing and executing performance advertising strategies.
Preferred:
• MBA or Master's degree in Statistics, Data Science, or a related field.
• Experience with advanced data visualization, Business Intelligence (BI) tools, and translating complex datasets into executive-level insights.
• Experience with a scripting language (e.g., Python or Apps Script) to automate data analysis.
Company:
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google. Founded in 2010, the company is headquartered in London, GBR, with a team of 501-1000 employees. The company is currently Late Stage.

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