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Google Internship Data Science Jobs in Dallas, TX

Mars Technominds Inc

Data Science Architect

Mckinney, TX · On-site

$59 - $76/hr

Architect cloud-based data science solutions using AWS, Azure, or Google Cloud Platform (Google Cloud Platform). * Work with technologies such as Python, SQL, Spark, Databricks, MLflow, TensorFlow ...

New

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.

Judge Group, Inc.

Data Scientist - IV

Dallas, TX · On-site

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 ...

State Farm

Data Scientist

Richardson, TX · Hybrid

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

ADT

Data Scientist

Irving, TX · On-site

This role bridges the gap between advanced data science and strategic marketing operations, working ... g., Google Analytics, Adobe Analytics), and MarTech/AdTech ecosystems. * Ambiguity Management:

ADT Security Services

Data Scientist

Irving, TX · Remote

This role bridges the gap between advanced data science and strategic marketing operations, working ... g., Google Analytics, Adobe Analytics), and MarTech/AdTech ecosystems. * Ambiguity Management:

New

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 ...

State Farm

Lead Data Scientist - Gen AI

Richardson, TX · On-site

Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

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How much do google internship data science jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for google internship data science in Dallas, TX is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What is a Google internship in data science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

What types of projects does a data science intern typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

What are the key skills and qualifications needed to thrive as a Google data science intern, and why are they important?

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

What is the difference between Google Internship Data Science vs Google Data Analyst Internship?

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

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

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

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

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

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

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

Google Internship Data Science jobs near you
Infographic showing various Google Internship Data Science job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $46,305 per year, or $22.3 per hour.

Data Science Architect

Mckinney, TX • On-site

Mars Technominds Inc
IT Services • 51 - 200 employees
Learn more about Mars Technominds Incexternal

$59 - $76/hr

Other

Posted 3 days ago

New

Job description

Data Science Architect

Location: McKinney, TX
Duration: 12 24 Months
Employment Type: Contract

Clearance Requirement

Secret clearance is NOT required at the time of hire. However, candidates must be eligible and able to obtain a U.S. Secret clearance.

Job Summary

We are seeking an experienced Data Science Architect to design, architect, and lead the development of scalable data science, machine learning, and AI solutions. The ideal candidate will have strong expertise in Data Science, Machine Learning, Python, SQL, cloud technologies, data architecture, and MLOps, with the ability to translate complex business and technical requirements into enterprise-grade analytical solutions.

The Data Science Architect will work closely with data scientists, data engineers, software engineers, cloud architects, and business stakeholders to establish scalable architecture, technical standards, and best practices for advanced analytics and AI/ML initiatives.

Key Responsibilities

  • Design and develop end-to-end Data Science, Machine Learning, and AI architectures for enterprise applications.
  • Define scalable and secure architectures for data ingestion, processing, analytics, machine learning, and model deployment.
  • Lead the architecture and implementation of predictive analytics, machine learning, statistical modeling, and advanced analytics solutions.
  • Collaborate with Data Scientists and Data Engineers to develop robust data pipelines and analytical platforms.
  • Design solutions for both structured and unstructured data and large-scale data processing.
  • Develop and implement machine learning models using appropriate algorithms and frameworks.
  • Establish standards and best practices for model development, validation, deployment, monitoring, and lifecycle management.
  • Design and implement MLOps processes and CI/CD pipelines for machine learning workloads.
  • Architect cloud-based data science solutions using AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
  • Work with technologies such as Python, SQL, Spark, Databricks, MLflow, TensorFlow, PyTorch, and Scikit-learn.
  • Evaluate and recommend data science, AI/ML, and cloud technologies based on scalability, performance, security, and cost.
  • Ensure data quality, governance, security, privacy, and compliance requirements are incorporated into solution architecture.
  • Design solutions supporting real-time and batch data processing.
  • Establish architecture patterns for APIs, microservices, model serving, and integration with enterprise applications.
  • Monitor and optimize model performance, scalability, reliability, and resource utilization.
  • Provide technical leadership and mentorship to Data Scientists, ML Engineers, Data Engineers, and development teams.
  • Work with stakeholders to translate business requirements into technical and data-driven solutions.
  • Create architecture diagrams, technical documentation, standards, and solution design specifications.
  • Stay current with emerging technologies in AI, Machine Learning, Generative AI, Data Science, and Cloud Computing.

Required Skills & Experience

  • 8+ years of experience in Data Science, Machine Learning, AI, Data Engineering, or related technology disciplines.
  • Strong experience in Data Science Architecture / Machine Learning Architecture / AI Architecture.
  • Advanced programming experience with Python.
  • Strong knowledge of SQL, data modeling, data structures, and algorithms.
  • Strong understanding of machine learning algorithms, statistical modeling, predictive analytics, and data mining.
  • Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar.
  • Hands-on experience with MLOps, ML lifecycle management, model deployment, monitoring, and CI/CD.
  • Experience designing scalable data pipelines and distributed data processing solutions.
  • Strong experience with Apache Spark / PySpark and/or Databricks.
  • Experience with one or more cloud platforms: AWS, Azure, or Google Cloud Platform.
  • Knowledge of data platforms such as Data Lakes, Data Warehouses, Lakehouse architectures, and distributed databases.
  • Experience with REST APIs, microservices, containers, Docker, and Kubernetes is preferred.
  • Strong understanding of data governance, security, privacy, and enterprise architecture principles.
  • Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred / Nice-to-Have Skills

  • Experience with Generative AI, Large Language Models (LLMs), RAG, NLP, or AI Agents.
  • Experience with MLflow, Azure Machine Learning, Amazon SageMaker, or equivalent MLOps platforms.
  • Experience with Kafka, Airflow, dbt, or other data engineering/orchestration technologies.
  • Knowledge of Vector Databases, embeddings, semantic search, and AI/ML APIs.
  • Experience with Terraform, Git, Jenkins, GitHub Actions, or Azure DevOps.
  • Experience working in large enterprise or highly regulated environments.
  • Experience leading architecture initiatives and mentoring technical teams.

Education

  • Bachelor s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Master s degree is preferred.

Clearance

Secret clearance is not required for this position at the time of hire. Candidates must be eligible and able to obtain a U.S. Secret clearance.

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