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Data Mining Jobs in Georgia (NOW HIRING)

Inspire Brands

Data Scientist

Atlanta, GA · On-site

Uses data mining tools and programming languages to prepare data for analysis and business decision making. Delivers analytical and commercial solutions for internal and external customers. Combine ...

Inspire Brands

Data Scientist

Atlanta, GA

Uses data mining tools and programming languages to prepare data for analysis and business decision making. Delivers analytical and commercial solutions for internal and external customers. Combine ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

Excellent problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and data preparation for visualization * Personal qualities ...

Inspire Brands, Inc.

Data Scientist

Sandy Springs, GA · On-site

Uses data mining tools and programming languages to prepare data for analysis and business decision making. Delivers analytical and commercial solutions for internal and external customers. Combine ...

Vitruvian Health

Data Conversion Analyst

Dalton, GA · On-site

Minimum of 1 year related work with data as evidenced in such tasks as report writing, data mining, data modeling, data analysis, data migration, database administration, programming, and machine ...

Vitruvian Health

Data Conversion Analyst

Dalton, GA

Minimum of 1 year related work with data as evidenced in such tasks as report writing, data mining, data modeling, data analysis, data migration, database administration, programming, and machine ...

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

Conduct data mining to extract valuable insights from large datasets. * Collaborate with cross-functional teams to define project specifications and timelines. * Use Talend for data integration and ...

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Deep knowledge of machine learning, artificial intelligence, data mining, and predictive analytics. Proficient in Python, R, SQL, and common machine learning frameworks (e.g., TensorFlow, Scikit ...

Sidram Technologies

ServiceNow Developer

Atlanta, GA · On-site

$52 - $71.50/hr

Snowflake, data Mining and API integration Rachael IT Services | Development | Staffing URL: http:/www.sidramtech.com | Email: rachael@sidramtech.com Direct: 4705239688 Led by 25+ Years of Industry ...

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All JobsData Mining JobsData Mining Jobs in Georgia

Data Mining information

See Georgia salary details

$43.1K

$59.1K

$75.2K

How much do data mining jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data mining in Georgia is $59,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $71,800.00 per year, depending on experience, location, and employer.

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.

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 the most commonly searched types of Data Mining jobs in Georgia? The most popular types of Data Mining jobs in Georgia are:
What are popular job titles related to Data Mining jobs in Georgia? For Data Mining jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Georgia look for? The top searched job categories for Data Mining jobs in Georgia are:
What cities in Georgia are hiring for Data Mining jobs? Cities in Georgia with the most Data Mining job openings:
Data Mining jobs near you
Infographic showing various Data Mining job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $59,106 per year, or $28.4 per hour.

Associate Data Scientist - Decision Analytics

Home Depot

Atlanta, GA • On-site

$56K - $56K/yr

Full-time

Posted 26 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,420 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This position is in Decision Analytics, an internal data science support team for many areas of the business; this role specifically is involved in supporting sales growth and profitability initiatives with Customer, Delivery, and Finance areas of data. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.
Key Responsibilities:
  • 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
  • 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation
  • 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings

Direct Manager/Direct Reports:
  • This position reports to manager or above
  • This position has 0 direct reports

Travel Requirements:
  • No travel required.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 3+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Experience in a modern scripting language (preferably Python)
  • Experience running queries against data (preferably with Google BigQuery or SQL)
  • Experience in predictive modeling, data mining and data analysis
  • Experience with data visualization software (preferably Tableau)
  • Experience utilizing statistical techniques to identify key insights that help solve business problems
  • Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Basic knowledge or exposure to predictive modeling, data mining and data analysis

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 0

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Social media

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