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Director 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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MCG Health

Director, Data Science

Seattle, WA · On-site

$177K - $248K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Experience developing AI solutions in cloud environments such as AWS, Azure, or Google Cloud ...

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$54K

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$244K

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

As of Jul 11, 2026, the average yearly pay for director google data science in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

How does a Director of Google Data Science typically collaborate with cross-functional teams to drive data-driven decision-making?

As a Director of Google Data Science, you will frequently lead and coordinate with product managers, engineers, designers, and business leaders to translate business goals into actionable data projects. This collaboration involves setting data strategy, defining key metrics, and ensuring that insights are integrated into product roadmaps and business decisions. You’ll also mentor data scientists, facilitate communication between technical and non-technical stakeholders, and help foster a culture of experimentation and innovation. Ensuring alignment across teams and managing priorities is a common challenge, but it’s crucial for maximizing the impact of data science on organizational objectives.

What does a Director of Google Data Science do?

A Director of Google Data Science leads teams of data scientists, analysts, and engineers to drive data-informed decision-making across the company. They are responsible for setting the strategic vision for data initiatives, overseeing the development of machine learning models and analytics solutions, and collaborating with cross-functional teams to solve complex business problems. This role also involves mentoring staff, managing large-scale projects, and ensuring that data practices align with Google's ethical standards and business goals.

What are the key skills and qualifications needed to thrive as a Director of Google Data Science, and why are they important?

To thrive as a Director of Google Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant industry experience. Mastery of programming languages like Python or R, familiarity with big data platforms (such as BigQuery), and experience with cloud computing tools are essential, along with strong project management skills. Outstanding leadership, communication, and strategic vision are crucial soft skills for guiding teams and collaborating with stakeholders across the organization. These skills and qualities are vital for driving impactful data-driven decisions, fostering innovation, and successfully leading large, diverse data science teams.

Can data scientists make $300k?

Data scientists, including those in senior roles like Director of Data Science, can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and data analysis, and working at large tech companies or in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires leadership responsibilities and a strong track record of impact. However, such salaries are not universal and depend on factors like location, industry, and individual expertise.

What is the 80 20 rule in Data Science?

The 80/20 rule in Data Science suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency and effectiveness.

What is the difference between Director Google Data Science vs Data Science Manager?

AspectDirector Google Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, overseeing multiple teams, setting visionTeam management, project execution, day-to-day operations
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data scienceBachelor's or Master's, strong technical and leadership skills
Work EnvironmentExecutive level, cross-functional collaboration, strategic planningTeam-focused, project management, technical oversight
Industry UsageCommon in large tech companies, corporate R&D divisionsWidely used across tech, finance, healthcare sectors

The main difference between a Director Google Data Science and a Data Science Manager lies in scope and focus. The Director typically handles strategic planning and oversees multiple teams, while the Manager focuses on project execution and team management. Both roles require strong technical backgrounds, but the Director's role is more executive and vision-oriented.

What is a director's salary at Google?

A Director of Data Science at Google typically earns a base salary ranging from $150,000 to $250,000 annually, with total compensation often exceeding $300,000 when including bonuses and stock options. Compensation varies based on experience, location, and performance, and the role requires strong leadership and technical skills in data analysis and machine learning.

How much does Google pay a data scientist?

Google data scientists, including those in senior roles like Data Science Directors, typically earn a base salary ranging from $120,000 to over $200,000 annually, with total compensation often exceeding $250,000 when bonuses and stock options are included. Compensation varies based on experience, location, and level within the company, and roles often require proficiency in machine learning, data analysis, and programming tools like Python or R.
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Director Google Data Science jobs near you
Infographic showing various Director Google Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.

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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