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Google Data Science Jobs in Texas (NOW HIRING)

Apex Systems

Senior Data Architect

Plano, TX · On-site

$64.75 - $86.50/hr

Master's degree in computer science, Information Systems, Engineering, or related field. * 8+ years of experience in data architecture or data engineering. * Strong expertise with Google Cloud ...

Entegris

Senior Data Scientist

Round Rock, TX

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 ...

Entegris

Senior Data Scientist

Austin, TX · On-site

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 ...

Entegris

Senior Data Scientist

Austin, TX · On-site

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 ...

Academy, Ltd.

Sr Data Scientist Real Estate

Katy, TX · On-site

What You Will Work On In this role, you shape data science solutions that support enterprise real ... Google BigQuery experience preferred with broader cloud data platform exposure * Ability to ...

New

Entegris, Inc.

Senior Data Scientist

Austin, TX · On-site

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 ...

Tror AI for everyone

Google Cloud Data Architect

Dallas, TX · On-site

$63 - $81/hr

Bachelor's/Master's in Computer Science, Information Systems, or equivalent. * Google Cloud Professional Cloud Architect (required or within 3 months). (Preferred: Professional Data Engineer ...

Addison Group

AI.ML Engineer (Google)

San Antonio, TX · On-site

$125K/yr

ML Engineer (Google) Compensation: $125000 / Year Benefits: Medical insurance, Vision insurance ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field. * 3-5 years of ...

AT&T

Sr Specialist Data Scientist

Plano, TX · On-site

$132K - $192K/yr

Apply knowledge of cloud technologies including AWS, Google Cloud, and Azure. Utilize machine ... Requires a Bachelor's degree, or foreign equivalent degree in Data Science, Math, Statistics ...

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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 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 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.

Sr Data Scinetest with Gen AI- W2 only.

Plano, TX • On-site

Ventechsoft Inc
See more jobs at Ventechsoft Incexternal

Other

Posted 6 days ago

Job description

Job Title: Senior Data Scientist – Generative AI & Machine Learning

Location: Plano, TX (On-site / Hybrid)

Employment Type: Full-Time – W2 Only (No C2C / 1099)

Position Overview

We are seeking a highly skilled Data Scientist specializing in Generative AI and Machine Learning to design, build, and deploy intelligent, data-driven applications. In this role, you will bridge traditional statistical data science, predictive modeling, and state-of-the-art Generative AI frameworks (LLMs, RAG architectures, Agentic workflows) to solve complex business challenges and deliver scalable, enterprise-grade AI solutions.

Key Responsibilities

  • Generative AI & LLM Systems: Design, fine-tune, and deploy large language model (LLM) architectures, Retrieval-Augmented Generation (RAG) pipelines, and autonomous AI Agent workflows.

  • Core Data Science & Predictive Modeling: Apply statistical methods, machine learning algorithms, and exploratory data analysis to complex structured and unstructured datasets.

  • Pipeline Development: Build and optimize end-to-end data processing and model inference pipelines using Python, SQL, and cloud platforms.

  • Model Evaluation & MLOps: Establish evaluation frameworks (hallucination tracking, accuracy metrics, and drift detection) to maintain production model performance and alignment.

  • Stakeholder Collaboration: Translate complex business requirements into high-performing machine learning architectures and communicate insights to technical and non-technical partners.

Required Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline.

  • Experience:

    • 4+ years of professional experience in data science, predictive modeling, and applied machine learning.

    • 1–2+ years of hands-on experience building, fine-tuning, or deploying Generative AI models and solutions (e.g., OpenAI API, LangChain, LlamaIndex, Hugging Face).

  • Programming & Databases: Strong proficiency in Python (Pandas, PyTorch, TensorFlow, Scikit-learn) and complex SQL querying.

  • Gen AI Tooling: Deep understanding of prompt engineering, vector databases (e.g., Pinecone, Chroma, Milvus, PGVector), embedding models, and orchestration frameworks.

  • Cloud Infrastructure: Practical experience deploying models in AWS, Azure, or Google Cloud Platform environments.

Preferred Qualifications

  • Experience developing multi-agent systems and orchestration tools (e.g., CrewAI, AutoGen).

  • Familiarity with MLOps pipelines, Docker containerization, CI/CD, and model governance frameworks.

  • Industry experience in financial services, telecommunications, retail, or enterprise SaaS (highly relevant for the Plano, TX talent market).

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