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

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 ... Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.

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 ...

JP Morgan Chase

WFP Senior Data Scientist

Plano, TX · On-site

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 ...

KPMG

Data Scientist- Manager

Dallas, TX · On-site

... 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 ...

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All JobsGoogle Data Science JobsGoogle Data Science Jobs in Dallas, TX

Google Data Science information

See Dallas, TX salary details

$24.2K

$114.4K

$197.9K

How much do google data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for google data science in Dallas, TX is $114,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,021.00 and $143,576.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Google Data Science jobs in Dallas, TX?

For Google Data Science jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Dallas, TX look for?

The top searched job categories for Google Data Science jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Google Data Science jobs?

Cities near Dallas, TX with the most Google Data Science job openings:

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,401 per year, or $55 per hour.

Data Architect (Google Cloud Platform & OCI)

Cloud Destinations LLC

Dallas, TX • On-site

$63.25 - $81.50/hr

Other

Posted 4 days ago

Job description

We are seeking for a highly skilled and experienced Data Tech Team Lead with deep technical expertise in Google Cloud Platform, also known as Google Cloud Platform, and Oracle Cloud Infrastructure, also known as OCI. In this role, you will serve as the technical lead for a modern data platform team, helping drive the design, development, and operational support of enterprise scale data pipelines, data warehouses, and analytics environments.
The ideal candidate will have a strong software engineering and data engineering background, with experience supporting complex data movement between Google Cloud Platform and OCI, optimizing analytical queries, and enabling downstream Business Intelligence, also known as BI, and Data Science use cases.
Responsibilities:
  • Architect, implement, and maintain scalable data lakes, lakehouses, and data warehousing strategies across Google Cloud Platform and OCI.
  • Design resilient and low latency Extract, Transform, Load and Extract, Load, Transform pipelines to ingest, clean, and transform data from diverse transactional, operational, and business systems.
  • Lead, mentor, and support a team of data engineers, analytics engineers, and database developers.
  • Establish code quality standards and conduct architecture reviews to support reliable and scalable data solutions.
  • Partner with application, Data Science, merchandising, and supply chain technology teams to ensure the data platform delivers clean, timely, and actionable insights.
  • Support pipeline orchestration and platform operations for enterprise data environments.
  • Implement automated data testing, anomaly detection, and data lineage tracking to support trust in enterprise reporting.
  • Optimize database, warehouse, and query performance, including approaches such as BigQuery partitioning, BigQuery clustering, and OCI Autonomous Data Warehouse indexing.
  • Enforce data governance, access control policies, row and column level security, and cataloging practices to support audits and data discovery.
  • Monitor and optimize storage and compute costs associated with large scale query activity, including BigQuery slots, Serverless Dataproc, OCI Compute, and storage layers.
Qualifications:
  • Eight or more years of experience in data engineering, data warehousing, or software engineering.
  • Three or more years of experience leading engineering teams.
  • Strong hands on experience with Google Cloud Platform data and analytics services, including BigQuery, Dataproc, cloud functions, cloud runners, Cloud Storage, and Pub and Sub.
  • Experience with OCI data infrastructure, including Autonomous Data Warehouse, OCI GoldenGate, Oracle Integration Cloud, and Oracle Database Cloud Services.
  • Advanced SQL and Python experience for building robust data extraction and transformation logic.
  • Experience with CI/CD pipelines, including GitLab CI.
  • Experience supporting business intelligence, analytics, or data science use cases.
  • Strong communication and collaboration skills with the ability to work across technical and business teams.
Tools and Technologies:
  • Google Cloud Platform
  • Oracle Cloud Infrastructure
  • BigQuery
  • Dataproc
  • Cloud Functions
  • Cloud Storage
  • Pub and Sub
  • OCI Autonomous Data Warehouse
  • OCI GoldenGate
  • Oracle Integration Cloud
  • Oracle Database Cloud Services
  • SQL
  • Python
  • GitLab CI
  • Google Cloud Platform Vertex AI
  • Data lakes
  • Lakehouses
  • Data warehouses
  • Data lineage tools and practices
  • Data quality and observability practices

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