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Data Mining Consultant Jobs (NOW HIRING)

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to ... Responsibilities : • Conducting data analytics, data engineering, data mining, exploratory ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

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 ...

NALLEY CONSULTING

Data Scientist - Sr

Washington, DC · On-site

Job Summary : Nalley Consulting is a Service Disabled Veteran Owned Small Business working with ... mining, statistical analysis, or AI/ML. • Experience with data visualization software, such as ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

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 ...

1872 Consulting

Data Scientist

Tempe, AZ · On-site

Job Summary : 1872 Consulting is seeking a Data Scientist to support card-related insights and analytics. The role involves managing card programs, data mining, and developing analytical solutions to ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Join the mission on the Nalley Consulting team. Position: Data Engineer LCAT: Senior Location ... Conducting data analytics, data engineering, data mining, exploratory analysis, predicative ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Join the mission on the Nalley Consulting team. Position: Data Engineer LCAT: Senior Location ... Conducting data analytics, data engineering, data mining, exploratory analysis, predicative ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$113K - $136K/yr

Join the mission on the Nalley Consulting team. Position: Data Engineer. LCAT: Senior. Location ... Duties * Conducting data analytics, data engineering, data mining, exploratory analysis ...

WATI

Informatic Consultant

Los Angeles, CA · On-site

$14.50 - $20/hr

... data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data - infographics and other data display techniques, and report design options; data interpretation ...

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Data Mining Consultant information

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How much do data mining consultant jobs pay per hour?

As of Sep 13, 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 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.

What are the key skills and qualifications needed to thrive as a data mining consultant?

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 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.

How do I become a data mining consultant?

To become a data mining consultant, you typically need a bachelor's degree in computer science, data science, or a related field, along with strong skills in data analysis, statistical methods, and programming languages like Python or R. Gaining experience with data mining tools and techniques, and obtaining certifications such as Certified Analytics Professional (CAP), can enhance your qualifications. Building a portfolio of projects and developing good communication skills are also important for success in this role.

Is data mining a good career?

Data mining is a viable career for those interested in analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and tools like SQL or Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for advancement and specialization. Success in this field typically involves continuous learning and certifications in data analysis or machine learning.

What are popular job titles related to Data Mining Consultant jobs?

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

Data Mining Consultant jobs near you
Infographic showing various Data Mining Consultant job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.

Data Scientist - Louisville, CO

Louisville, CO • On-site

Georgia IT, Inc.
IT Services • 51 - 200 employees
Learn more about Georgia IT, Inc.external

Full-time

Posted 26 days ago

Job description

Job Summary:
Georgia IT, Inc. is a company seeking a Data Scientist to provide technical direction and guidance based on data science and analysis of web traffic. The role involves collaborating with various teams to create algorithmic solutions, develop models to detect trends, and implement adaptive techniques using machine learning.
Responsibilities:
• Provides technical direction and guidance based on data science and analysis of web traffic and web data.
• Collaborate with Engineering, the AI/Client team, the Malicious Detection team, Product Management and Executive Leadership Team to create algorithmic and data-driven solutions, as well as establishing current and long-term business, technical and product strategy.
• Develop models using statistical analysis and data mining to detect trends, similarities, patterns and collaboration with engineers to create dashboards and heat maps for visualization of data.
• Success in creating monetization strategies and offerings based on economic analysis of data assets and data science strategies.
• Measuring, experimenting and tuning systems and algorithms as well as implementing adaptive techniques based on machine learning and data mining.
• Determination of weighted reputation and trustworthy scoring systems based on data mining and analysis.
• Proven experience in identify relevant algorithms and processes for data-driven solutions; and provide design input to engineering to code those identified to produce actionable results.
• Experience creating and proving predictive model prototypes and working with with data engineers to put them into production.
• Have experience with interacting, administering, or working with : Hadoop, Hive, Spark, MapReduce, and cluster computing with Amazon Web Services, Open Source Software, and Linux.
Qualifications:
Required:
• US Citizen, Green Card and GC EAD Only.
• NO Visa Sponsorship (H1B Transfer) or no Corp. to Corp no 1099.
• Provides technical direction and guidance based on data science and analysis of web traffic and web data.
• Extract large and complex web datasets while thinking strategically about uses of data and how data use interacts with data design.
• Collaborate with Engineering, the AI/Client team, the Malicious Detection team, Product Management and Executive Leadership Team to create algorithmic and data-driven solutions.
• Establish current and long-term business, technical and product strategy.
• Develop models using statistical analysis and data mining to detect trends, similarities, patterns.
• Collaborate with engineers to create dashboards and heat maps for visualization of data.
• Success in creating monetization strategies and offerings based on economic analysis of data assets and data science strategies.
• Measuring, experimenting and tuning systems and algorithms.
• Implement adaptive techniques based on machine learning and data mining.
• Determine weighted reputation and trustworthy scoring systems based on data mining and analysis.
• Proven experience in identifying relevant algorithms and processes for data-driven solutions.
• Provide design input to engineering to code those identified to produce actionable results.
• Experience creating and proving predictive model prototypes.
• Work with data engineers to put predictive models into production.
• Have experience with interacting, administering, or working with: Hadoop, Hive, Spark, MapReduce, and cluster computing with Amazon Web Services, Open Source Software, and Linux.
Company:
Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Georgia IT logo

About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

Social media

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