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Director Google Data Science Jobs (NOW HIRING)

Prophecy Technologies

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Science * Offshore team coordination Must-Have Qualifications: * Extensive experience as a Senior Data Engineer with Google Data Engineering expertise * Strong understanding of ETL processes, data ...

Deloitte

Google Data Engineering Consultant

Rosslyn, VA · On-site

$130K - $156K/yr

This role works with engineers, data scientists, and business stakeholders to translate ... Support the development, testing, and deployment of applications and data pipelines on Google Cloud ...

NOVUS

Director, Data Science

Chicago, IL · On-site

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... Google Ads Data Hub, or comparable), and structure Match-Market Tests (MMTs) and Brand Lift Studies ...

Novus Print Media

Director, Data Science

Chicago, IL · Hybrid

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... Google Ads Data Hub, or comparable), and structure Match-Market Tests (MMTs) and Brand Lift Studies ...

Asurion

Senior Director, Data Science Location: Bay Area preferred, optional: Nashville, TN or Sterling, VA ... Cloud certification in AWS, Azure, or Google Cloud. * Certification in ML or MLOps frameworks.

Asurion

Senior Director, Data Science

San Mateo, CA

Senior Director, Data Science Location: Bay Area preferred, optional: Nashville, TN or Sterling, VA ... Cloud certification in AWS, Azure, or Google Cloud. * Certification in ML or MLOps frameworks.

Boot Barn

Director, Data Science

Irvine, CA

DIRECTOR, DATA SCIENCE REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other ...

Optimize Partners

Director, Data Science

New York, NY · Hybrid

As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of ...

PROPRIUS

Director Data Science

San Francisco, CA

Director Data Science Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry: Data Science A Fortune 500 is looking for a proven Data Science leader to create a new Data Science team.

Boot Barn

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other ...

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All JobsDirector Google Data Science Jobs

Director Google Data Science information

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$54K

$154.9K

$244K

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

As of Jun 20, 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 much do Google data scientist managers make?

Google data scientist managers typically earn between $150,000 and $250,000 annually, depending on experience, location, and level within the company. Compensation often includes base salary, bonuses, and stock options, with senior roles commanding higher pay. Strong skills in data analysis, machine learning, and leadership are essential for these positions.

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.

What is the highest salary of a data scientist in Google?

The highest salary for a data scientist at Google can exceed $200,000 annually, often including bonuses, stock options, and other compensation components. Senior roles such as Staff Data Scientist or Principal Data Scientist tend to have the highest earnings, especially for those with extensive experience and advanced skills in machine learning and data analysis.

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 at Google typically earns between $180,000 and $250,000 annually, with total compensation including bonuses and stock options often exceeding $300,000. Salaries vary based on experience, location, and specific department, and senior roles may include additional benefits and performance incentives.

Is L7 senior at Google?

At Google, the L7 level is considered a senior leadership position, often held by experienced managers or senior individual contributors. It typically requires extensive expertise, leadership skills, and a track record of impactful work. The level indicates a high level of responsibility within the company's technical or managerial hierarchy.
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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 June 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.

Senior Data Scientist, Research, Search Intelligence Quality

Google

Mountain View, CA • On-site

Full-time

Posted 8 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

32nd of 191 rated software companies

Job description

Job Summary:
Google is a leading technology company, and they are seeking a Senior Data Scientist to enhance the quality of their Search AI products. In this role, you will evaluate and improve the Google Search user experience by analyzing complex data sets and collaborating cross-functionally to develop metrics and methodologies for measuring quality.
Responsibilities:
• Work with large, complex data set and solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and business strategy.
• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for design, and assess improvements to Google products.
• Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Research and develop analysis methods to improve the quality of Google Search.
Qualifications:
Required:
• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Preferred:
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
• Experience working with eval data (human and AI rated).
• Strong organization, prioritization, written and verbal communication skills.
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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