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Data Scientist Machine Learning Jobs in Texas (NOW HIRING)

Jobtailor

AI Data Scientist - Enterprise AI

Austin, TX · On-site

$140 - $190/hr

* Design, develop, and deploy AI-powered solutions using LLMs, Generative AI, machine learning, and ... Collaborate with engineers, data scientists, product owners, business leaders, and technology ...

Ruri Software Technologies LLC

Data Scientist

Plano, TX · On-site

Data Scientist Location : Plano, TX, 5900 West Plano Parkway, 75093 About the Role We're looking ... Apply AI and machine learning to improve operations and decision-making * Partner with business and ...

GRVTY

Data Scientist 3

San Antonio, TX · On-site

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

Chabez Tech LLC

Senior Data Scientist

Manor, TX · On-site

Senior Data Scientist Location: Austin, TX / Cupertino, CA - Hybrid (3 Days/Week) Duration ... The ideal candidate should have strong expertise in Python, statistics, machine learning, and data ...

New

MedReview

Data Scientist

Austin, TX · On-site

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team ... As a part of our team, you will leverage your analytical skills and expertise in machine learning ...

MedReview

Data Scientist

Austin, TX · On-site

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team ... As a part of our team, you will leverage your analytical skills and expertise in machine learning ...

Photon

AI/ML Data Scientist

Dallas, TX · On-site

AI/ML Data Scientist Location: Dallas, TX (Onsite) Key Responsibilities ... Translate business problems into well-defined machine learning and predictive modeling objectives.

SOSi

Data Scientist

El Paso, TX

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

SOSi

Data Scientist

El Paso, TX · On-site

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

NovationIQ

Data Scientist

Center, TX · On-site

$100 - $140/hr

Experience working in a Data Science, Machine Learning, Applied Statistics or similar role.Proven experience designing, validating and monitoring applied machine learning models.Robust experience ...

SOSi

Data Scientist

El Paso, TX

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

RealmOne

Data Scientist 3

San Antonio, TX · On-site

... Machine Learning, Data Science, Operations Research, or Computer Science. • A degree in a related field, a degree in the physical/hard sciences, or other science disciplines with a substantial ...

Techvilla Solutions

Data Scientist

Richardson, TX

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Techvilla Solutions

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

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Showing results 41-60

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 24, 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 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 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 is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

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 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

AI Data Scientist - Enterprise AI

Jobtailor

Austin, TX • On-site

$140 - $190/hr

Other

Posted 8 days ago

Job description


  • Design, develop, and deploy AI-powered solutions using LLMs, Generative AI, machine learning, and predictive analytics

  • Develop data pipelines, feature engineering approaches, and analytical workflows

  • Research AI methods, tools, and frameworks for enterprise operations business problems

  • Design and execute experiments evaluating model effectiveness, accuracy, robustness, and operational performance

  • Analyze large-scale structured and semi-structured datasets to generate insights and build predictive models

  • Translate business requirements into technical approaches and communicate AI concepts to technical and non-technical audiences

  • Support AI solution adoption through training, demonstrations, documentation, and stakeholder engagement

  • Collaborate with engineers, data scientists, product owners, business leaders, and technology organizations

  • Contribute to AI best practices, reusable frameworks, and technical standards


Requirements

  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field

  • 3+ years of experience developing AI, machine learning, and data science solutions

  • Proficiency in Python and modern AI/ML libraries and frameworks

  • Experience with model evaluation, experimentation, performance measurement, and validation methodologies

  • Experience working with large-scale tabular datasets using SQL, Spark, Databricks, or similar technologies

  • Ability to collaborate effectively in culturally diverse and distributed teams

  • Preferred: 5+ years of industry experience developing AI, machine learning, and data science solutions

  • Preferred: Experience with Azure, AWS, or GCP

  • Preferred: Version control tools such as GitHub and AI-assisted development tools such as GitHub Copilot

  • Preferred: Experience with RAG, prompt engineering, and AI agents

  • Preferred: Familiarity with MLOps, model monitoring, observability, and enterprise AI governance

  • Preferred: Experience communicating technical concepts to business stakeholders

  • Preferred: Experience working in highly collaborative, matrixed organizations


Core Competencies

Demonstrates expertise in designing and deploying AI-powered solutions, utilizing machine learning, predictive analytics, and data engineering techniques. Proficient in translating complex technical concepts for diverse audiences and fostering collaboration across teams to drive AI solution adoption.


Highest-signal resume keywords

  • AI Solution Development

  • Machine Learning Expertise

  • Python Proficiency

  • Data Pipeline Development

  • Model Evaluation and Validation


ATS Optimization Keywords
Hard Skills

  • Machine Learning

  • Predictive Analytics

  • Data Engineering

  • Feature Engineering

  • Model Evaluation

  • SQL

  • Spark

  • Databricks

  • AI/ML Libraries

  • Experimentation Methodologies


Soft Skills

  • Effective Collaboration

  • Communication Skills


Industry Keywords

  • Artificial Intelligence

  • Data Science

  • Enterprise AI Governance

  • MLOps

  • AI Best Practices


Tools & Technologies

  • Azure

  • AWS

  • GCP

  • GitHub

  • GitHub Copilot

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