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Data Mining Jobs in Texas (NOW HIRING)

GRVTY

Data Scientist 3

San Antonio, TX

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

Houston Methodist

... mining and knowledge discovery in databases. Reporting duties for the Data Analyst position will involve the provision of monthly departmental reports and ensuring timely regulatory reporting ...

Apex Informatics

Data Modeler

Plano, TX · On-site

$52.25 - $68/hr

Data mining and producing novel reports for management * Strong Excel Skills with pivots and graphs * Candidates must possess advanced problem-solving skills, analyzing complex data and ability ...

Axius Inc

Big Data Architect

Austin, TX · On-site

$120 - $150/hr

... mining algorithms Contribute to our team's growing set of development platforms, tools, and processes Qualifications Experience with enterprise level data architecture Prior experience in Hadoop ...

Winaxis

Data Analyst

Dallas, TX · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Winaxis

Data Analyst

Dallas, TX · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Winaxis

Data Analyst

Dallas, TX · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Winaxis

Data Analyst

Dallas, TX · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Winaxis

Data Analyst

Dallas, TX · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Victory

Data Scientist

Austin, TX · On-site +1

Significant experience in data mining, machine-learning and operations research * Experience with data modeling, design patterns, building highly scalable and secured solutions preferred * Prior ...

Winaxis

Data Analyst

Dallas, TX · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Winaxis

Data Analyst

Dallas, TX · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

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Showing results 21-40

All JobsData Mining JobsData Mining Jobs in Texas

Data Mining information

See Texas salary details

$47.5K

$65.2K

$82.9K

How much do data mining jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data mining in Texas is $65,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $79,200.00 per year, depending on experience, location, and employer.

What is a data mining?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

What are the key skills and qualifications needed to thrive in data mining, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are some common challenges faced by professionals in data mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

How much do data miners make?

Data miners typically earn between $50,000 and $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data analysis and tools like SQL or Python can earn higher salaries.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for advancement and specialization.

What are the most commonly searched types of Data Mining jobs in Texas?

The most popular types of Data Mining jobs in Texas are:

What are popular job titles related to Data Mining jobs in Texas?

For Data Mining jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Mining jobs in Texas look for?

The top searched job categories for Data Mining jobs in Texas are:

What cities in Texas are hiring for Data Mining jobs?

Cities in Texas with the most Data Mining job openings:

Data Mining jobs near you
Infographic showing various Data Mining job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $65,215 per year, or $31.4 per hour.

Lead Data Scientist

Inabia Software & Consulting Inc.

Houston, TX • On-site

Other

Posted yesterday

New

Job description

Role: Lead Data Scientist

Client: CoAction
Location: Houston, TX 77002
Job Type: Full-Time
Client- Candidate would get to know while being in the interview
Job Description: 
 
About the Organization
Our organization is committed to delivering high-quality, efficient services while creating exceptional experiences for the communities we serve. We value innovation, collaboration, data-driven decision-making, and continuous improvement.
We are seeking an experienced Lead Data Scientist to provide advanced analytical expertise, lead complex data science initiatives, and deliver actionable insights that support strategic and operational decision-making.
Position Summary
The Lead Data Scientist will lead the analysis of complex and unstructured datasets using advanced statistical, analytical, and machine learning techniques.
This individual will provide in-depth data insights for complex business problems, lead cross-functional projects, develop predictive models and algorithms, and translate analytical findings into clear and actionable recommendations for technical and non-technical stakeholders.
The Lead Data Scientist will also provide technical guidance and mentorship to other data scientists and contribute to the development of data science capabilities across the organization.
Key Responsibilities
  • Lead high-priority and complex data science projects that have a significant organizational impact.
  • Analyze structured and unstructured datasets using advanced statistical and analytical techniques.
  • Develop custom data models, algorithms, and predictive solutions to address complex business problems.
  • Apply machine learning and statistical models to key business metrics and operational challenges.
  • Perform research, data analysis, modeling, data mining, visualization, and pattern analysis.
  • Develop and test hypotheses and communicate findings in a clear, precise, and actionable manner.
  • Maintain existing analytical models and evaluate model performance and goodness of fit.
  • Identify opportunities to improve operational efficiency, productivity, scalability, and business outcomes through data.
  • Work closely with cross-functional teams to identify, investigate, and resolve complex data issues.
  • Gather requirements and translate business needs into analytical solutions.
  • Provide technical leadership, coaching, and mentoring to other data scientists.
  • Train broader teams on data science methodologies, tools, and developments.
  • Assist in evaluating data science vendors, technologies, platforms, and tools.
  • Lead multiple projects simultaneously while managing competing priorities and deadlines.
  • Troubleshoot complex analytical and data-related issues and recommend appropriate solutions.
  • Support strategic and operational decision-making through advanced data insights.
  • Perform other duties and projects as assigned.
Desired Skill Set
  • Advanced data science and analytics
  • Machine learning and predictive modeling
  • Advanced statistical analysis
  • SQL and database management
  • Data mining and data visualization
  • Structured and unstructured data analysis
  • Statistical modeling and hypothesis testing
  • Time-series forecasting
  • Regression analysis
  • Clustering and classification
  • A/B testing
  • Data storytelling and visualization
  • Business and technical requirements gathering
  • Project leadership and management
  • Cross-functional collaboration
  • Technical mentoring and team leadership
  • Problem-solving and analytical reasoning
  • Executive and stakeholder communication
Minimum Qualifications
Education
  • Bachelor's degree in Science, Engineering, Computer Science, Mathematics, Statistics, or a related STEM field required.
  • Master's degree in Data Science preferred.
Licenses/Certifications
  • None required.
Experience, Knowledge & Skills
  • Minimum 7 years of professional experience in Data Science.
  • Experience in a hospital, healthcare, medical informatics, healthcare information technology, healthcare finance/revenue cycle, or Electronic Health Record (EHR) data environment is preferred.
  • Strong business analytical skills, including process analysis, modeling, spreadsheets, and workflow analysis.
  • Strong technical, mathematical, and analytical capabilities.
  • Deep understanding of machine learning techniques, including:
    • Clustering
    • Decision tree learning
    • Artificial neural networks
    • Predictive modeling
    • Classification techniques
  • Advanced knowledge of statistical concepts and techniques, including:
    • Regression
    • Statistical testing
    • Probability and distributions
    • Hypothesis testing
    • A/B testing
  • Advanced understanding of the data science project lifecycle.
  • Strong programming skills and experience with statistical analysis tools.
  • Advanced knowledge of SQL and database management.
  • Experience researching and resolving data issues involving large, complex, and incomplete datasets.
  • Exceptional analytical and problem-solving skills.
  • Ability to interpret and communicate complex analytical results.
  • Strong project management skills and ability to independently manage multiple projects.
  • Strong written and verbal communication skills with the ability to communicate effectively with technical and non-technical audiences.
  • Ability to work with minimal supervision in a fast-paced, multidisciplinary environment.
  • Strong customer-service orientation and commitment to producing high-quality analytical work.
  • Ability to manage challenging stakeholder situations and provide effective solutions.
Preferred Healthcare Experience
Candidates with experience working with the following are highly desirable:
  • Hospital or healthcare data
  • Electronic Health Records (EHR)
  • Healthcare IT
  • Medical informatics
  • Healthcare finance
  • Revenue cycle data
  • Clinical or operational healthcare analytics
Ideal Candidate Profile
The ideal candidate will be a senior-level data scientist with 7+ years of hands-on data science experience and strong expertise in advanced analytics, machine learning, statistical modeling, SQL, and predictive modeling.
Candidates who have combined technical data science expertise with healthcare or hospital data experience are especially desirable.
The successful candidate should be comfortable leading complex projects, mentoring other data scientists, working with large and incomplete datasets, and translating sophisticated analytical findings into practical business recommendations.

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