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

Senior Data Scientist

Austin, TX · On-site

$155K - $200K/yr

Schwab's AI & Data Science organization helps shape the future of client and employee experiences ... Google Cloud * Product management or product strategy experience, including identifying ...

Schwab's AI & Data Science organization helps shape the future of client and employee experiences ... Google Cloud * Product management or product strategy experience, including identifying ...

Bachelor's Degree required with an advanced degree in Computer Science, Data Science, Engineering, or related field preferred. * Deep knowledge and hands-on experience with Google Cloud's AI ...

Design, develop, and maintain analytical data models, views, and datasets within Snowflake, Google ... What We Seek * Master's degree in Data Science, Computer Science, Electrical Engineering ...

Design, develop, and maintain analytical data models, views, and datasets within Snowflake, Google ... What We Seek * Master's degree in Data Science, Computer Science, Electrical Engineering ...

Design, develop, and maintain analytical data models, views, and datasets within Snowflake, Google ... What We Seek * Master's degree in Data Science, Computer Science, Electrical Engineering ...

Design, develop, and maintain analytical data models, views, and datasets within Snowflake, Google ... What We Seek * Master's degree in Data Science, Computer Science, Electrical Engineering ...

Data Scientist Location : Austin, TX (Day One Onsite to Client Location) H-1B transfers are ... AWS / Azure / Google Cloud Platform • Data tools: Airflow, dbt, Spark (basic exposure) • ...

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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 Sep 11, 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 job categories do people searching Google Data Science jobs in Austin, TX look for?

The top searched job categories for 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 September 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $113,753 per year, or $54.7 per hour.

Senior Network Engineer, Google Global Infrastructure

Austin, TX • On-site

Google
Software Development • 10K+ employees

$103K - $141K/yr

Full-time

Re-posted 27 days ago


Key responsibilities

  • Develop solutions for Google's Enterprise network, including feature qualification, validation, deployment, operation, and optimization.

  • Scale systems through tools and automation, and drive changes to improve reliability and velocity.

  • Participate in 24x7 on-call rotation for Tier 3 support and lead assigned projects in technical and communication aspects.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

Minimum qualifications:
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  • 6 years of experience with network routing protocols, design and troubleshooting, with network equipment providers.
  • Experience in one or more programming languages such as C , Go, or Python.
  • Experience with network technologies/protocols (e.g., VXLAN, BGP EVPN, 802.1x, LACP, Encryption, key management, Micro segmentation, ACL).

Preferred qualifications:
  • CCIE, PCNSE, FCP certifications or production environment equivalent level experience.
  • Familiarity with leveraging AI tools to enable network feature development velocity and accelerate daily workflow.
  • Knowledge of Python and Go programming languages.
  • Knowledge of Linux.
  • Systematic problem-solving approach, coupled with excellent communication skills and a sense of ownership and drive.

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.
Google's network provides services to millions of Internet users around the world. Our metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life cycle of all space, power, and network assets in all of Google's data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $150000 - $217000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Be responsible for development of solutions for Google's Enterprise network, executing new features qualification and validation through network development, deployment, operation, and optimization.
  • Scale systems sustainably through tools and automation, and evolve systems by driving change that improves reliability and velocity, reliably serving Google Enterprise Network team's customers.
  • Participate in 24x7 on call rotation for subject matter expert (SME) Tier 3 support requirements as needed.
  • Coordinate and take lead of assigned projects in all technical and communication aspects.
  • Coach and collaborate with peer engineers towards achieving common goals in assigned projects.

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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