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Google Data Science Jobs (NOW HIRING)

Diverse Lynx

Google Data Engineering

Peachtree Corners, GA · On-site

$108K - $130K/yr

Strong Programming experience in Java or Python Experience in Google Cloud platform (especially ... Science team to understand data formatting and sourcing needs to enable them to build out use cases ...

Diverse Lynx

Google Data Engineering

Duluth, GA · On-site

$105K - $126K/yr

Strong Programming experience in Java or Python Experience in Google Cloud platform (especially ... Science team to understand data formatting and sourcing needs to enable them to build out use cases ...

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 ...

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

$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 ...

Deloitte

Google Data Engineering Consultant

Arlington, VA · On-site

$131K - $158K/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 ...

YouVersion

Senior Data Scientist

Edmond, OK · On-site

... in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis • Proficiency in Python or R for data analysis ...

Life.Church

Senior Data Scientist

Edmond, OK · On-site

... data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis. • Proficiency in Python or R for data analysis ...

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$115.9K

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How much do google data science jobs pay per year?

As of Jun 4, 2026, the average yearly pay for google data science in the United States is $115,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a Google Data Science job?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What are the key skills and qualifications needed to thrive in the Google Data Science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

What types of projects do Google Data Science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.
More about Google Data Science jobs
What cities are hiring for Google Data Science jobs? Cities with the most 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 Google Data Science jobs? States with the most job openings for Google Data Science jobs include:
What job categories do people searching Google Data Science jobs look for? The top searched job categories for Google Data Science jobs are:
Google Data Science jobs near you
Infographic showing various Google Data Science job openings in the United States as of May 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $115,933 per year, or $55.7 per hour.

Technical Program Manager III, Advanced Analytics, Google Data Center

Google

Kirkland, WA • On-site

$137K/yr

Full-time

Posted 23 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

31st of 185 rated software companies

Job description

Job Summary:
Google is a leading technology company that builds products to create opportunities for everyone. They are seeking a Technical Program Manager to lead complex, multi-disciplinary projects for Google’s Data Center teams, managing project schedules, identifying risks, and delivering advanced analytics leveraging machine learning and artificial intelligence.
Responsibilities:
• Design and implement data warehouse infrastructure, data structures, batch and real-time data pipelines, predictive analytics and machine learning models using Google Cloud Platform (GCP), translate data and model results into strategic insights for leadership and business stakeholders.
• Lead multiple data-solution programs, including coding responsibilities covering data pipelines, visualizations, data alerts, advanced analytics, and machine learning methods, translating raw data into strategic insights and recommendations for leadership and business teams.
• Manage all aspects of program deliverables from project inception to implementation and resource oversight.
• Manage datasets to extract business insights that help maintain up-time of critical data center operations, and increase operating efficiency of teams responsible for designing and building Google’s data center footprint.
Qualifications:
Required:
• Bachelor’s degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in SQL, Python, or BigQuery.
• Experience in advanced analytics or AI/ML model-based solutions, and data engineering or systems management (e.g., data warehousing, data analytics, business intelligence, visualization, data governance, data architecture, and system integration).
Preferred:
• 5 years of experience managing cross-functional or cross-team projects.
• Experience in modern data warehouses using cloud based solutions from data sources, predictive analytics, or machine learning.
• Experience leading and delivering data-focused programs.
• Experience with executing change management or program strategy.
• Experience in developing batch and real time streaming data pipelines using Google Cloud Platform BigQuery, Dataflow, and Publish/Subscribe from data sources (e.g., Oracle, SAP).
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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