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Google Data Science Jobs (NOW HIRING)

SynergisticIT

data science

Chicago, IL · On-site

... google, Paypal, western union, bankofamerica, visa, etc to name a few. We have an excellent ... data analysts/data scientists. Who Should Apply: * Recent IT graduates looking to make their ...

IDR, Inc.

Data Science Analyst

La Crosse, WI · Remote

IDR is seeking a Data Science Analyst to join one of our top clients in a fully remote capacity ... At least one year of hands-on experience with Google Cloud Platform, specifically Vertex AI.

Woodland CCSD 50

Data Analytics Manager

Gurnee, IL · On-site

A. Required - Bachelor's Degree in Data Analytics, Data Science, Information Systems, Statistics ... Google Data Studio, Skyward, or similar platforms to support district and school-level decision ...

Inmar

Director, Data Science (MarTech)

Chicago, IL · On-site

Expand awareness and understanding of Data Science to peers and senior leadership * Demonstrate ... Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences ...

Inmar

Director, Data Science (MarTech)

New York, NY

Expand awareness and understanding of Data Science to peers and senior leadership * Demonstrate ... Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences ...

Saxon Global

Data Science & Analytics

Manhattan, NY · On-site

Job Title Experience * 8-12 years of experience in ecommerce and digital marketing data science ... Skilled in web analytics platforms (Google Analytics, Omniture) and KPI translation. * Familiarity ...

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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.

Staff Data Engineer, Search, Data Science

Google

Mountain View, CA • On-site

Full-time

Posted 7 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, and they are seeking a Staff Data Engineer to drive Search product excellence and growth with data insights. The role involves building scalable data foundations and collaborating with cross-functional teams to transform data into actionable insights.
Responsibilities:
• Own the data engineering strategy for high-stakes Search initiatives, designing multi-stage data products that process data for billions of users.
• Architect organization-wide initiatives for metrics convergence to establish single-source-of-truth foundations for operational and topline Search metrics.
• Integrate core data systems with Google's backend infrastructure, ensuring technical designs are optimized for both massive scale and low-latency consumption.
• Collaborate with Product Data Scientists and Engineering leads to identify growth and quality opportunities, bridging the gap between raw data and actionable insights.
• Act as a primary technical advisor to Search leadership, transforming ambiguous product goals into solid architectural decisions.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development, including large-scale data systems or information retrieval.
• Experience with programming in C++, Java, Python, or Go.
• Experience designing and maintaining data pipelines.
Preferred:
• Understanding of the Search product landscape and its unique data issues (e.g., latency, richness, quality).
• Track record of leading organization-wide technical debt reduction or metrics convergence projects.
• Ability to navigate a matrixed organization and drive alignment across cross-functional teams.
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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