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Data Mining Jobs in Houston, TX (NOW HIRING)

While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data full potential. As part of ...

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

Houston, TX Must Have Skills (Top 2 technical skills only) Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal processing, machine learning, optimization ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project management methodologies and tools. * Experience working in a team-oriented, collaborative environment.

The role involves problem-solving, data mining, and daily operations related to data maintenance while working with various business functions. Responsibilities : • Manage Master Data in SAP across ...

Experience with data analysis, data mining, and statistical modeling. * Excellent problem-solving and analytical skills. * Ability to work effectively in a team environment. Preferred Skills:

New

... mining, and data warehousing- Advanced knowledge of SQL and data warehouse concepts- Experience with database design, performance tuning, and scalability Experience and knowledge with cloud native ...

Sr. BI & Data Analyst

Houston, TX · On-site

$82K - $103K/yr

Data Profiling, mining, and data validation/testing to ensure data is fit for use by the business. * Perform ad-hoc analysis and present results in a clear and user-friendly manner. * Build strong ...

New

Experience with statistical and data mining techniques * Experience using C, C++, Java, JavaScript, Python, R, SQL * Expertise in areas such as formation evaluation, production logging and well ...

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

The ideal candidate will have over a decade of expertise in AI, machine learning, data mining, NLP, and predictive analytics, with proven success in architecting large-scale data science solutions ...

Knowledge of data profiling and proven experience in data mining, collation and dashboard creation * Strong, professional written and verbal communication skills with the ability to work with all ...

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Data Mining information

See Houston, TX salary details

$48.7K

$66.8K

$85K

How much do data mining jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data mining in Houston, TX is $66,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $81,200.00 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 Houston, TX?

The most popular types of Data Mining jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Mining jobs?

Cities near Houston, TX with the most Data Mining job openings:

Infographic showing various Data Mining job openings in Houston, TX as of August 2026, with employment types broken down into 56% Full Time, 23% Part Time, and 21% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $66,848 per year, or $32.1 per hour.

Data Scientist

Houston, TX

Innotech
Investigation and Physical Security Services • 11 - 50 employees

Full-time

Re-posted 21 days ago


Job description

we rely on insightful data to power our systems and solutions. We’re seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.
 

Objectives of this role
 
  • Collaborate with product design and engineering teams to develop an understanding of needs
     
  • Research and devise innovative statistical models for data analysis
     
  • Communicate findings to all stakeholders
     
  • Enable smarter business processes by using analytics for meaningful insights
     
  • Keep current with technical and industry developments
     
Responsibilities
 
  • Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
     
  • Execute analytical experiments to help solve problems across various domains and industries
     
  • Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
     
  • Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
     
  • Analyze data for trends and patterns, and interpret data with clear objectives in mind
     
  • Implement analytical models in production by collaborating with software developers and machine-learning engineers
    Required skills and qualifications
     
  • Seven or more years of experience in data science
     
  • Proficiency with data mining, mathematics, and statistical analysis
     
  • Advanced experience in pattern recognition and predictive modeling
     
  • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)
     
  • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects