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Google Data Science Jobs in Austin, TX (NOW HIRING)

... Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

Posted today

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

We started with web tracking and attribution (Google Analytics, Google Tag Manager), then moved ... science, business intelligence, or a related field. * 2+ years of experience in performance ...

... Google, and Airbnb. Our flagship program is the Global Career Accelerator (here's an example: which ... Education or experience in Data Analytics, Data Science, Statistics, or a related field.

... Google, and Airbnb. Our flagship program is the Global Career Accelerator (here's an example: which ... Education or experience in Data Analytics, Data Science, Statistics, or a related field.

Showing results 21-40

Google Data Science information

See Austin, TX salary details

$24K

$113.8K

$196.7K

How much do google data science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for google data science in Austin, TX is $113,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,608.00 and $142,763.00 per year, depending on experience, location, and employer.

What is a Google data science?

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 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.

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 are the most commonly searched types of Google Data Science jobs in Austin, TX?

The most popular types of Google Data Science jobs in Austin, TX are:

What cities near Austin, TX are hiring for Google Data Science jobs?

Cities near Austin, TX with the most Google Data Science job openings:

Infographic showing various Google Data Science job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $113,753 per year, or $54.7 per hour.

Senior Staff Network Engineering Manager, Google Enterprise Network

Google

Austin, TX • On-site

$103K - $141K/yr

Full-time

Posted 7 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  • 15 years of experience with network routing protocols, design and troubleshooting, with network equipment providers.
  • 3 years of experience managing and building teams.

Preferred qualifications:
  • Experience with planning and designing networks (e.g., multiple sites, multiple products, etc.).
  • Knowledge of software engineering standards and best practices.
  • Ability to manage multiple complex projects and identify problems and issues across organizations and create programs and processes to solve them.

About the job
Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services.The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're behind Google's groundbreaking innovations, empowering the development of AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $222000 - $308000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Provide technical and thought leadership to improve the whole life-cycle of Google's Office and Data Center Enterprise networks from inception and design, to qualification and validation through deployment, operation, and optimization.
  • Identify broad problems proactively and translate these into projects and work for your teams.
  • Drive cross-functional alignment to ensure development of end-to-end network solutions for Alphabet.
  • Advocate for and build a great team culture that foster openness and collaboration.
  • Grow and retain a various set of talent, providing technical direction and career guidance and manage other managers.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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