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Data Mining Jobs in Grapevine, TX (NOW HIRING)

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running ...

They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running ...

... mining. • Provide analytical support to the organization by leveraging data mining tools and analytical methodologies. • Integrate internal and external data sources. • Assist in advanced ...

Data mining using state-of-the-art methods * Extending company's data with third party sources of information when needed * Enhancing data collection procedures to include information that is ...

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 ...

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Provide analytical support to the organization by leveraging data mining tools and analytical methodologies Assist in data modelling and analysis to determine key customer insights, drive business ...

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Data Mining information

See Grapevine, TX salary details

$47.1K

$64.7K

$82.2K

How much do data mining jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data mining in Grapevine, TX is $64,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $78,500.00 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 Grapevine, TX?

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

What are popular job titles related to Data Mining jobs in Grapevine, TX?

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

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

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

Infographic showing various Data Mining job openings in Grapevine, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $64,671 per year, or $31.1 per hour.

Data Scientist

Hanchey

Dallas, TX • On-site

$85K - $130K/yr

Full-time

Re-posted 28 days ago


Job description


The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects. Upon acquiring new business, the DSC owns the remaining phases of the project lifecycle:definition/planning, execution and completion.
The definition/planning and execution phases focus on identifying relationships across data sources to provide insight into the individual and environmental characteristics and factors that drive behaviors and outcomes in the casualty and absence space. Methods include basic descriptive approaches including trending and visualization to advanced causal analysis rooted in statistics and data mining techniques. The DSC interprets results and presents findings to clients coupled with solutions for preventing or mitigating future exposures in conjunction with product line teams brought into the project as needed and as outlined in the project acquisition process.
Skills:
  • Significant knowledge of statistics and data mining methods such as, but not limited to, various forms of regression analysis and decision tree techniques
  • Familiarity with visualizations tools such a Qlik or Tableau
  • Understanding of data warehousing concepts
  • Highly developed communication skills covering report development, presentation, and meeting management
  • Project management
  • Organized and collaborative
  • Self-starter that works well alone as well as in a group

Requirements
Bachelor's degree in mathematics, statistics, or related field; Masters or advanced certificate in data analytics preferred.
7-10 years of experience in the data science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence management industry preferred.