1

Volunteer Google Data Science Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

Volunteer Google Data Science information

What cities are hiring for Volunteer Google Data Science jobs? Cities with the most Volunteer 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:
What states have the most Volunteer Google Data Science jobs? States with the most job openings for Volunteer Google Data Science jobs include:
Infographic showing various Volunteer Google Data Science job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

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.