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Data Science Machine Learning Jobs in Texas (NOW HIRING)

Hp

AI Data Scientist - Enterprise AI

Spring, TX · On-site

$130K - $205K/yr

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 ...

SWBC

Data Scientist II

San Antonio, TX · On-site

... data science, machine learning, and AI, and contribute to the team's knowledge sharing and ... continuous improvement culture. Qualifications : Required : • Master's degree in a quantitative ...

Qorvo, Inc.

Data Engineer

Richardson, TX

$103K - $124K/yr

Role Summary We are looking for an entry level Data Engineer to help with the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business ...

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 ...

Qorvo, Inc.

Data Engineer

Richardson, TX · On-site

$103K - $124K/yr

Role Summary We are looking for an entry level Data Engineer to help with the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business ...

Conga

Staff Data Scientist (AI/ML)

Boston, TX · On-site

Experience. 10+ years of professional experience in data science, machine learning, or AI, including 5+ years working on AI/ML or GenAI solutions. Proven track record of developing, deploying, and ...

New

SWBC

Data Scientist II

San Antonio, TX · On-site

Stay current with emerging trends in data science, machine learning, and AI, and contribute to the team's knowledge sharing and continuous improvement culture. Serious candidates will possess the ...

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Showing results 21-40

All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Texas

Data Science Machine Learning information

See Texas salary details

$34.9K

$114.3K

$183.1K

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

As of Aug 12, 2026, the average yearly pay for data science 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 are the key skills and qualifications needed to thrive as a data science machine learning professional?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a data science machine learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Texas 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 $114,350 per year, or $55 per hour.

AI Data Scientist - Enterprise AI

HP Development Company, L.P.

Spring, TX • On-site

$130K - $205K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 26 days ago

Job description

AI Data Scientist - Enterprise AI
Description -
Enterprise Operations Applied AI Organization
Overview
The Enterprise Operations Applied AI organization is seeking an AI Data Scientist to help design, build, evaluate, and scale AI-driven solutions that deliver measurable business impact across enterprise operations. 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 Language Models (LLMs), Generative AI, machine learning, and large-scale data analysis with the ability to work effectively in complex enterprise environments on multidisciplinary teams. Success in this role requires curiosity, initiative, strong communication skills, and a passion for turning emerging AI technologies into practical business solutions.
This position supports the Enterprise Operations Applied AI organization's mission of enabling AI-powered transformation through applied research, scalable solutions, responsible AI practices, and cross-functional collaboration.
Key Responsibilities
  • Design, develop, and deploy AI-powered solutions leveraging Large Language Models (LLMs), Generative AI technologies, machine learning, and predictive analytics.
  • Develop data pipelines, feature engineering approaches, and analytical workflows that support AI solution development.
  • Research new AI methods, tools, and frameworks and determine their applicability to business problems across enterprise operations.
  • Design and execute experiments to evaluate model effectiveness, accuracy, robustness, and operational performance.
  • Analyze large-scale structured and semi-structured datasets to generate insights, build predictive models, and support operational decision-making.
  • Translate business requirements into technical approaches and clearly communicate AI concepts to both technical and non-technical audiences.
  • Support adoption of AI solutions through training, demonstrations, documentation, and stakeholder engagement.
  • Collaborate with distributed teams of engineers, data scientists, product owners, business leaders, and other technology organizations to deliver impactful solutions.
  • Contribute to AI best practices, reusable frameworks, and technical standards across the organization.

Required Qualifications
  • 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.
  • Strong analytical skills with 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 Qualifications
  • 5+ years of experience developing AI, machine learning, and data science solutions in an industry setting.
  • Experience developing AI solutions in cloud environments such as Azure, AWS, or GCP.
  • Proficiency using software development tools such as version control (e.g. Github) and AI-assisted development tools (e.g. Github Copilot)
  • Experience with Retrieval-Augmented Generation (RAG), prompt engineering, AI agents.
  • Familiarity with MLOps, model monitoring, observability, and enterprise AI governance concepts.
  • Experience communicating technical concepts to business stakeholders.
  • Experience working in highly collaborative, matrixed organizations.

What Success Looks Like
A successful AI Data Scientist - Enterprise AI:
  • Builds AI solutions that move beyond prototypes and create measurable business value.
  • Demonstrates technical depth in LLMs, machine learning, and data science while maintaining a practical focus on implementation.
  • Communicates clearly with product managers, engineers, and operational teams.
  • Takes ownership of outcomes and proactively drives work forward without waiting for direction.
  • Continuously identifies opportunities to improve processes, solutions, and ways of working.

Core Competencies
  • Applied AI & Machine Learning
  • Large Language Models (LLMs) & Generative AI
  • Data Science & Statistical Analysis
  • Enterprise Problem Solving
  • Experimentation & Model Evaluation
  • Communication & Storytelling
  • Cross-Functional Collaboration
  • Ownership & Accountability

This role is ideal for someone who enjoys combining research, engineering, analytics, and business partnership to transform enterprise operations through practical and scalable AI solutions.
Pay & Benefits
The pay range for this role is $130,700 to $205,200 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave
  • US benefits overview https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
No
Relocation -
Not Specified
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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