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Data Science Machine Learning Jobs in Texas (NOW HIRING)

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 ...

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 ...

Swbc

Data Scientist II

San Antonio, TX

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 ...

SWBC

Data Scientist II

San Antonio, TX

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 ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Scientists, Data Engineers, and Data Architects on production systems and applications Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning On call ...

Siri InfoSolutions Inc

Data Engineer

San Antonio, TX · On-site

$89K/yr

Automate data workflows, model deployment, and reporting processes using scripting, CI/CD tools, and cloud-based technologies. • Research and evaluate emerging data science, machine learning, and ...

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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 Jul 22, 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, and why are they important?

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.
Data Scientist

Data Scientist

Select Minds LLC

Dallas, TX • On-site

$65 - $75/hr

Full-time

Posted 29 days ago

Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Job Title: Data Scientist - Integrated Operations
Location: Dallas, TX (Hybrid Remote)
In-Person Interview
Must be authorized to work in the U.S
Work Arrangement
- Hybrid work model: primarily remote within the Dallas-Fort Worth area.
- Occasional on-site presence required for meetings, training, or business needs.
- Limited business travel may be required.
Roles & Responsibilities
6+ years of experience in Machine Learning and Data Science.
• Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms.
• Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.
• Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).
• Experience in building Asynchronous Python APIs.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
• Proven experience in developing and deploying machine learning models in a production environment.
• Experience working with large datasets and performing data analysis
Required Qualifications
Education
- Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience.
Experience
- Advanced experience in data science, machine learning, AI, or optimization projects.
- Proficiency in Python and SQL.
- Strong understanding of statistical methods, experimental design, and model validation.
- Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark).
- Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit).
Preferred Experience
- Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR).
- Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics.
Skills & Abilities
- Ability to independently manage and deliver on complex projects.
- Strong problem-solving and critical thinking skills.
- Effective communication skills for both technical and executive audiences.
- Ability to adapt quickly to changing priorities and new technologies.
- Strong interpersonal and collaboration skills.
Compensation: $65.00 - $75.00 per hour
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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