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

Uber Freight

Staff Data Architect

Frisco, TX · Hybrid

Master's degree in Computer Science, Information Systems, Engineering, Data Science, or related field. * Google Professional Data Engineer Certification. * Google Professional Cloud Architect ...

Uber Freight

Staff Data Architect

Frisco, TX · On-site

Master's degree in Computer Science, Information Systems, Engineering, Data Science, or related field. * Google Professional Data Engineer Certification. * Google Professional Cloud Architect ...

Socket.dev

Staff Data Architect

Frisco, TX · On-site

$150 - $230/hr

Master's degree in Computer Science, Information Systems, Engineering, Data Science, or related field. * Google Professional Data Engineer Certification. * Google Professional Cloud Architect ...

New

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 ...

New

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 ...

cyberThink, Inc.

AI-Data Scientist Expert

Southlake, TX · On-site

... science. Principal Responsibilities: Data Engineering & Platform Migration: * Design, build, and operate data pipelines across both the current Alteryx environment and the target BigQuery/Google ...

Incedo Inc

Hadoop Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Collaborate with Data Science and ML Engineering teams to align features with use cases ... Azure / AWS / Google Cloud Platform) Monitoring, observability, and production debugging ...

Randstad Digital

AI-Data Scientist - Expert

Southlake, TX · On-site

$78.25 - $81.25/hr

The team's current analytics environment is centered on Alteryx and is will be migrating to Google ... data science. location: Telecommute job type: Contract salary: $78.25 - 81.25 per hour work hours ...

New

Apex Systems

Senior Cloud ETL Developer

Plano, TX · On-site

This role focuses on cloud-native data architecture on Google Cloud Platform (Google Cloud Platform ... Bachelor's degree in computer science, Information Systems, or related field. * 6-10+ years of ETL ...

New

Tek Ninjas

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Google Cloud Platform to support data processing and analytics * Optimize and monitor data pipelines for performance and reliability * Collaborate with data scientists and analysts to understand ...

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Showing results 21-40

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 13, 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.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 19 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.
Key Responsibilities:
  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements
  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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