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Data Mining Consultant Jobs (NOW HIRING)

Data Scientist

Chicago, IL · On-site

$90K - $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.

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.

... g and Staffing. Since our inception we have been providing industry leading IT solutions for ... Data Mining experience * Big Data experience * Requirements facilitation and documentation ...

... g and Staffing. Since our inception we have been providing industry leading IT solutions for ... Data Mining experience * Big Data experience * Requirements facilitation and documentation ...

... data mining, or AI and ML techniques, including NLP • developing predictive data models ... Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering.

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

Senior Big Data Engineer

Duluth, GA · On-site

$51.25 - $68/hr

Company Description Sonoma Consulting is one of the fastest growing national IT Consulting and ... Key activities will be: Developing data analytics, data mining and reporting solutions using ...

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How much do data mining consultant jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data mining consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What is the difference between Data Mining Consultant vs Data Analyst?

AspectData Mining ConsultantData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; certifications like Certified Analytics ProfessionalBachelor's in Statistics, Mathematics, or related fields; often no specific certifications required
Work EnvironmentConsulting firms, corporate data teams, project-based settingsBusiness, finance, healthcare, or tech companies; in-house or agency roles
Employer & Industry UsageUsed across industries for data-driven decision-making, often in consulting projectsUsed within organizations to analyze data, generate reports, and support business strategies

While both roles involve working with data, Data Mining Consultants focus on extracting insights from large datasets through specialized techniques and often work on client projects. Data Analysts primarily interpret data to produce reports and support operational decisions within a company. The roles overlap in skills and tools but differ in scope and application.

What are the key skills and qualifications needed to thrive as a Data Mining Consultant, and why are they important?

To thrive as a Data Mining Consultant, you need expertise in statistical analysis, data modeling, and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with data mining tools such as Python, R, SQL, and platforms like SAS or RapidMiner, as well as certifications in data science or analytics, is typically required. Strong problem-solving abilities, communication skills, and the capacity to translate complex data into actionable insights set top consultants apart. These skills are crucial for extracting valuable patterns from data, delivering business solutions, and effectively communicating findings to stakeholders.

What are some common challenges faced by Data Mining Consultants when working with client data, and how can these be addressed?

Data Mining Consultants often encounter challenges such as dealing with incomplete or inconsistent client data, integrating data from multiple sources, and ensuring data privacy and compliance. Addressing these issues typically involves thorough data cleaning, standardizing formats, and working closely with clients to understand their data landscape. Additionally, consultants must stay updated on data regulations and implement robust data security practices to protect sensitive information. Collaborating with client IT teams and stakeholders is key to overcoming these challenges and delivering actionable insights.

What does a Data Mining Consultant do?

A Data Mining Consultant helps organizations extract valuable insights from large sets of data using specialized techniques and tools. Their work includes analyzing complex data, identifying patterns and trends, and providing actionable recommendations to support business decisions. They may also assist in setting up data mining processes, selecting appropriate algorithms, and ensuring data quality. Data Mining Consultants often work across various industries, helping companies improve efficiency, target customers, or detect fraud.
More about Data Mining Consultant jobs
What states have the most Data Mining Consultant jobs? States with the most job openings for Data Mining Consultant jobs include:
What job categories do people searching Data Mining Consultant jobs look for? The top searched job categories for Data Mining Consultant jobs are:
Infographic showing various Data Mining Consultant job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 9% As Needed, 89% Full Time, and 1% Part Time. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.

Data Scientist

Hanchey

Chicago, IL • On-site

$90K - $130K/yr

Full-time

Posted 8 days ago


Job description

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.