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Data Scientist Machine Learning Jobs in Texas (NOW HIRING)

Data Scientist Work Location: The Woodlands Education/Experience Required: Bachelor's degree in ... Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and ...

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

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 ...

Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering ...

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 ...

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 ...

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 ...

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 ...

... Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...

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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 Sep 2, 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 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:

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.

Data Scientist

Paladin Consulting

The Woodlands, TX • On-site

Other

Posted 6 days ago


Job description

Job Title: Data Scientist

Work Location: The Woodlands

Education/Experience Required: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field; 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline


Job Description:

  • This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.
  • The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions.
  • This position requires a blend of technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.

Responsibilities:

  • Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions
  • Develop, deploy, and maintain machine learning models and advanced analytics solutions
  • Design and build scalable data pipelines and data products
  • Perform data analysis, feature engineering, forecasting, and statistical modeling
  • Create dashboards, reports, and self-service analytics tools to support decision-making
  • Monitor, improve, and support production analytics solutions
  • Present findings and recommendations to both technical and non-technical audiences
  • Drive measurable business impact through data-driven insights and operational improvements
  • Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Skills & Qualifications:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field
  • 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline
  • Strong proficiency in Python and SQL
  • Experience building and deploying production machine learning or analytics solutions
  • Experience developing and maintaining data pipelines
  • Strong knowledge of statistics, hypothesis testing, and model evaluation techniques
  • Experience communicating analytical findings to business stakeholders
  • Excellent problem-solving, analytical, and communication skills

Preferred Qualifications

  • Experience with Databricks, Spark, or PySpark
  • Experience with cloud platforms such as AWS or Azure
  • Experience with Tableau, Power BI, or other data visualization tools
  • Experience with modern data architectures and lakehouse environments
  • Experience developing AI-enabled applications
  • Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics