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Google Data Science Jobs in Texas (NOW HIRING)

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

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 ...

SolarWinds

Senior Manager, Data Science & AI

Austin, TX · On-site

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 ...

SolarWinds

Senior Manager, Data Science & AI

Austin, TX · On-site

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 ...

InfoVision, Inc.

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 ...

Select Minds LLC

Data Scientist

Dallas, TX

$65 - $75/hr

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.

Judge Group, Inc.

Data Scientist - IV

Dallas, TX · Hybrid

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 ...

Google

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 ...

Judge Group, Inc.

Data Scientist

San Antonio, TX

$130K - $150K/yr

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

Publicis Groupe Holdings B.V

Data Scientist

Plano, TX · On-site

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 ...

Select Minds LLC

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 ...

Publicis Groupe Holdings B.V

Data Scientist

Plano, TX · On-site

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 ...

Deloitte

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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How much do google data science jobs pay per year?

As of Jun 17, 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 are popular job titles related to Google Data Science jobs in Texas? For Google Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Google Data Science jobs in Texas look for? The top searched job categories for 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:
Google Data Science jobs near you
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.
Data Science Analyst

Data Science Analyst

Copart, Inc.

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Copart rating

6.8

Company rating: 6.8 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

10th of 16 rated auctioneers

Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart data science initiatives through the analysis and implementation of data science solutions. The data science analyst will also analyze and manipulate large-scale data sets from a multitude of sources, work to operationalize and integrate machine learning solutions into Copart's current products and visualize and report on findings and results to provide insight to the organization
Job Duties:
  • Design, implement, and analyze data science projects to improve the efficiency of Copart Operations
  • Apply critical thinking to ensure data integrity and quality control is applied to each dataset, model, and other analysis prior to presenting with internal customers
  • Apply insights from data analysis to guide the development of business initiatives.
  • Apply various machine learning techniques to build predictive models.
  • Continually engage in professional development to grow both technical skills, business, and industry knowledge.

Required Skills and Experience:
  • 3-5+ years of experience (relevant academic internships and projects can be considered in lieu of professional experience) with machine learning, statistical modeling, and data mining techniques. Bachelors or masters degree in a highly quantitative field (computer science, mathematics, machine learning, statistics) or equivalent experience
  • Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation in SQL
  • Experience applying various machine learning techniques, specifically neural networks and gradient boosted machines, and understanding the key parameters that affect their performance.
  • Strong data visualization skills using open-source tools (seaborns, matplotlib, plotly, ggplot2, shiny) Experience with both supervised and unsupervised modeling techniques.

Benefits Summary:
• Medical/Dental/Vision
• 401k plus a company match
• ESPP - Employee Stock Purchase Plan
• EAP - Employee Assistance Program (no cost to you)
• Vacation & Sick pay
• Paid Company Holidays
• Life and AD&D Insurance
• Discounts
Along with many other employee benefits.
#LI-KK1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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