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Google Data Science Jobs in Texas (NOW HIRING)

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ... Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation ...

You'll combine deep Google stack expertise with a strong sense of business impact and a bias for shipping. Core Responsibilities AI Strategy & Vision * Define and execute a Data Science & AI roadmap ...

You'll combine deep Google stack expertise with a strong sense of business impact and a bias for shipping. Core Responsibilities AI Strategy & Vision * Define and execute a Data Science & AI roadmap ...

Lead Data Science Engineer

Irving, TX

$98K - $129K/yr

Lead Data Science Engineer (AI/ML & GenAI) Location: Irving TX - Onsite Duration: 12 months About ... Azure, Google Cloud Platform) and MLOps tools. • Solid understanding of data engineering ...

Roles & Responsibilities . 6+ years of experience in Machine Learning and Data Science. Strong ... Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.

Independently work on data science projects and deliver innovative technical solutions to solve ... Google Cloud Platform) and services (Big Query, google cloud storage, Cloud SQL, Vector Search and ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... data science teams to influence product development and drive technical excellence. * Advise customers on migrating and optimizing database systems and data processing workloads on Google Cloud ...

Mentor team members and evaluate emerging data science techniques * Establish data governance ... Familiarity with cloud analytics platforms (AWS, Azure, or Google Cloud Platform) Preferred ...

Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Roles & Responsibilities 6+ years of experience in Machine Learning and Data Science. • Strong ... Azure, or Google Cloud for deploying AI solutions. • Proven experience in developing and ...

Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...

AI and Data Science Engineer III

Houston, TX · On-site +1

$109K - $131K/yr

... or Google Cloud Platform for data platforms and scalable compute * 4+ years of experience ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

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Google Data Science information

See Texas salary details

$21.5K

$102K

$176.3K

How much do google data science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for google data science in Texas is $101,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,078.00 and $127,957.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Data scientists, including those working at Google, can earn $300,000 or more annually, especially with senior roles, extensive experience, advanced skills in machine learning and big data tools, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which contribute to total earnings at this level.

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.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis tools being highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success in data science depends on skills, experience, and continuous learning of tools like Python, R, and SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities with relevant certifications and a strong portfolio.

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 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 is the average salary for a Data Scientist at Google?

The average salary for a Data Scientist at Google is approximately $120,000 to $150,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and data analysis can earn higher compensation, often including bonuses and stock options.
What are the most commonly searched types of Google Data Science jobs in Texas? The most popular types of Google Data Science jobs in Texas are:
What cities in Texas are hiring for Google Data Science jobs? Cities in Texas with the most Google Data Science job openings:
Infographic showing various Google Data Science job openings in Texas as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $101,955 per year, or $49 per hour.