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Data Scientist Machine Learning Jobs in Texas (NOW HIRING)

PTR Global

Sr Data Scientist

Fort Worth, TX · On-site

$90 - $100/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Scientist - Machine Learning & Generative AI Location: Fort Worth, TX 76155 (Hybrid) Durations: 6-12+ Months with possible extension and conversions. Job Overview: We are seeking a Data ...

Raas Infotek LLC

Data Scientist

Plano, TX · On-site

Data Scientist Location: Texas, USA Experience: 10+ Years Job Summary We are seeking an experienced ... Develop and implement machine learning and statistical models to solve complex business problems.

New

Pinnacle Technical Resources

Sr Data Scientist

Fort Worth, TX · On-site

$90 - $100/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Scientist - Machine Learning & Generative AI Location: Fort Worth, TX 76155 (Hybrid) Durations: 6-12+ Months with possible extension and conversions. Job Overview: We are seeking a Data ...

New

Chewy

Senior Data Scientist

Richardson, TX

$109K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... In this role, you will help build AI-powered and machine learning solutions that improve customer ...

Chewy

Senior Data Scientist

Richardson, TX · On-site

$109K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... In this role, you will help build AI-powered and machine learning solutions that improve customer ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine learning * Experience with exploring and extracting insights from multi-dimensional datasets * Proficiency ...

Socket.dev

Senior Machine Learning Data Scientist

Houston, TX · On-site

$102 - $156.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Machine Learning Data Scientist Location: Houston, United States, 77056 Company: ENGIE North America Inc. Business Unit: Supply & Energy Management Division: BP B2B US Employment Type:

ENGIE Group

Senior Machine Learning Data Scientist

Houston, TX · On-site

$102 - $156.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As our Senior Machine Learning Data Scientist, you will support the development, delivery, and continuous improvement of forecasting processes and models for ENGIE's U.S. power supply business.

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 understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods ...

Hp

AI Data Scientist - Enterprise AI

Austin, TX

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX · On-site

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

Victory

Data Scientist

Austin, TX

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

Victory

Data Scientist

Austin, TX · On-site +1

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

Lantern

Data Scientist

Dallas, TX · On-site

As a Data Scientist , you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will ...

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Showing results 1-20

All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Texas

Data Scientist Machine Learning information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do data scientist machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data scientist machine learning in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Texas? The most popular types of Data Scientist Machine Learning jobs in Texas are:
What are popular job titles related to Data Scientist Machine Learning jobs in Texas? For Data Scientist Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Texas look for? The top searched job categories for Data Scientist Machine Learning jobs in Texas are:
What cities in Texas are hiring for Data Scientist Machine Learning jobs? Cities in Texas with the most Data Scientist Machine Learning job openings:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Texas as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 85% In-person, 10% Hybrid, and 5% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Sr Data Scientist

PTR Global

Fort Worth, TX • On-site

$90 - $100/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Job Title: Data Scientist - Machine Learning & Generative AI
Location: Fort Worth, TX 76155 (Hybrid)
Durations: 6-12+ Months with possible extension and conversions.
Job Overview:
We are seeking a Data Scientist to support the Service Recovery Modernization initiative. This resource will be embedded within the project team and will take ownership of the end-to-end development of machine learning and Generative AI solutions. The ideal candidate will have strong experience in data preparation, data pipeline development, machine learning, and deploying AI applications into production.
Required:
  • Experience working as a Data Scientist, Machine Learning Engineer, or in a similar role.
  • Strong experience with data preparation, cleansing, transformation, and feature engineering.
  • Hands-on experience designing and developing data pipelines.
  • Strong programming skills in Python and SQL.
  • Experience developing, testing, and deploying machine learning models.
  • Experience building Generative AI or large language model applications.
  • Understanding of the complete ML lifecycle, including development, validation, deployment, and monitoring.
  • Experience working with structured and unstructured datasets.
Preferred:
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Knowledge of LLM orchestration, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation.
  • Experience with MLOps tools, CI/CD pipelines, model monitoring, and containerized deployment.
  • Experience delivering AI solutions for customer service, operational recovery, or process modernization initiatives.
  • Familiarity with data governance, model governance, and responsible AI practices.
Responsibilities:
  • Work closely with the Service Recovery Modernization team to understand business needs and identify AI and machine learning opportunities.
  • Collect, clean, transform, and prepare structured and unstructured data for analysis and modeling.
  • Design, build, and maintain reliable data pipelines for ML and Generative AI applications.
  • Develop, train, test, and validate machine learning models.
  • Design and develop Generative AI applications using large language models.
  • Deploy ML and GenAI solutions into production environments.
  • Monitor model performance, accuracy, reliability, and data quality.
  • Troubleshoot data, pipeline, and model-related issues.
  • Collaborate with data engineers, software engineers, product owners, and business stakeholders.
  • Document data processes, model designs, testing results, and deployment procedures.
  • Follow security, privacy, governance, and responsible AI standards

Pay Range: $90 - $100
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
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