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Google Data Science Jobs in Texas (NOW HIRING)

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 ...

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 ...

Our Workforce Planning (WFP) Data Science team builds AI/ML solutions that help forecast demand ... Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google ...

Our Workforce Planning (WFP) Data Science team builds AI/ML solutions that help forecast demand ... Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google ...

... Google Cloud), RAG pipelines, and AI frameworks such as LangChain/LangGraph or Semantic Kernel * Proficient in Python and its data science ecosystem; experienced in building solutions on data ...

... data science and cloud platforms, including Dataiku, Microsoft Azure, and Google Cloud Platform (GCP), to build and manage data pipelines, ML workflows, and GenAI applications; * (7) Generative AI ...

... data science and cloud platforms, including Dataiku, Microsoft Azure, and Google Cloud Platform (GCP), to build and manage data pipelines, ML workflows, and GenAI applications; * (7) Generative AI ...

New

... science and cloud platforms, including Dataiku, Microsoft Azure, and Google Cloud Platform (GCP), to build and manage data pipelines, ML workflows, and GenAI applications; (7) Generative AI and RAG ...

... science and cloud platforms, including Dataiku, Microsoft Azure, and Google Cloud Platform (GCP), to build and manage data pipelines, ML workflows, and GenAI applications; (7) Generative AI and RAG ...

Showing results 21-40

Google Data Science information

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 Texas?

The most popular types of Google Data Science jobs in Texas 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:

Infographic showing various Google Data Science job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Director, AI, Data & Google Cloud

Austin, TX β€’ On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Director of AI, Data & Google Cloud to join our consulting organization.

Responsibilities:
  • Lead end-to-end AI, data, and cloud transformation programs using Google Cloud AI services, enhancing customer experience, operational efficiency, and decision-making across various industries.
  • Act as a trusted advisor to senior and C-level client stakeholders, shaping AI strategies and roadmaps while positioning KPMG's Google Cloud AI solutions as strategic enablers of business objectives.
  • Oversee the design, architecture, and delivery of multi-agent conversational AI systems and automation solutions, ensuring seamless integration, quality, scalability, and security within enterprise workflows.
  • Drive business development to expand KPMG's AI and Google Cloud portfolio by identifying market opportunities, developing proposals, and securing new client engagements, while fostering strategic alliances.
  • Manage and mentor cross-functional teams, promoting a high-performance culture, technical excellence, and career development, ensuring the team stays at the forefront of AI and cloud technology advancements.
  • Set a clear strategic vision for AI and data offerings, staying updated on the latest AI advancements and Google Cloud innovations, fostering a culture of innovation, and ensuring alignment with KPMG's digital strategy.
Qualifications:
  • A minimum of 8 years in data analytics, AI/ML, and cloud technology, including leadership roles in consulting or technology organizations. Google Cloud certifications (e.g., Professional Cloud Architect, Machine Learning Engineer) or equivalent are a plus.
  • 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 ecosystem (including Agent Builder, Contact Center AI, and Dialogflow) to design and orchestrate intelligent multi‑agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations.
  • Proficient in architecting and implementing AI‑powered workflow solutions using Google Cloud services (e.g., Vertex AI, Dialogflow CX), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation.
  • Skilled in designing multi‑agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency. Experienced in conversational AI integration.
  • Deep understanding of scaling AI‑driven solutions, ethical AI, and MLOps practices for maintaining models. Brings industry consulting insights with a balance of technical and business acumen to deliver strategic, value‑driven AI solutions. In‑depth knowledge of AI orchestration and best practices.
  • Travel as needed
  • Must be authorized to work in the U.S. without the need for employment‑based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H‑1B, L‑1, TN, O‑1, E‑3, H‑1B1, F‑1, J‑1, OPT, CPT or any other employment‑based visa)

KPMG LLP and its affiliates and subsidiaries (β€œKPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well‑being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

California Salary Range: $204725 - $370530

KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state and local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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