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Data Mining Jobs in Atlanta, GA (NOW HIRING)

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

... mining. • Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. • Familiarity with big data tools such as Spark, or similar technologies. • ...

Kaizen Analytix

Data Scientist

Atlanta, GA · Remote

$60/hr

Provide analytical support by leveraging data mining tools and analytical methodologies * Assist in data modeling and analysis to determine key customer insights, drive business strategies, and ...

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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 ...

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 ...

HD Supply

Data Analytics Specialist

Atlanta, GA · On-site

Job Summary Responsible for creating solutions for business problems using data mining and analytics. Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data ...

HD Supply

Data Analytics Specialist

Atlanta, GA · On-site

Job Summary Responsible for creating solutions for business problems using data mining and analytics. Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data ...

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Showing results 21-40

All JobsData Mining JobsData Mining Jobs in Atlanta, GA

Data Mining information

See Atlanta, GA salary details

$49K

$67.3K

$85.6K

How much do data mining jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data mining in Atlanta, GA is $67,316.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,900.00 and $81,700.00 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 Atlanta, GA?

The most popular types of Data Mining jobs in Atlanta, GA are:

What are popular job titles related to Data Mining jobs in Atlanta, GA?

For Data Mining jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Data Mining jobs in Atlanta, GA look for?

The top searched job categories for Data Mining jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Data Mining jobs?

Cities near Atlanta, GA with the most Data Mining job openings:

Data Mining jobs near you
Infographic showing various Data Mining job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,316 per year, or $32.4 per hour.

Data Scientist

Xforia, Inc.

Atlanta, GA • On-site

Contractor

Re-posted 17 days ago

Job description

Job Description:
Key Skills:
- LLM
- NLP
- GenAI
- RAG
- Python
Summary
We are seeking a highly skilled and motivated Senior Data Scientist with expertise in deep learning, particularly as applied to a combination of text and structured data. In this role, you will be responsible for designing, developing, and implementing innovative Deep Learning models, driving innovation, and providing technical leadership to a team of data scientists. You will work closely with cross-functional teams, including engineers, product managers, and researchers, to identify opportunities, design solutions, and deliver high-impact projects that leverage Deep Learning technologies.
Job Duties & Responsibilities
• Lead the development and implementation of deep learning models to solve complex business problems and drive innovation.
• Collaborate with cross-functional teams including data engineers, software developers, and domain experts to understand business workflow and integrate deep learning solutions into production systems and products.
• Stay up to date with the latest advancements in deep learning research and technology and apply this knowledge to improve existing models and develop new capabilities.
• Mentor junior data scientists and contribute to the growth and development of the data science team.
• Communicate complex technical concepts and findings to non-technical stakeholders through clear and effective presentations, reports, and visualizations.
Work Experience And Education Requirements
• Master's degree in Computer Science, Statistics, Mathematics, or a related field required.
• Ph.D. preferred
• 3-5 years of experience in applying deep learning methods to text data, including natural language processing, text classification, sentiment analysis, or other related applications.
• Strong background in machine learning, statistical modeling, and data mining.
• Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Familiarity with big data tools such as Spark, or similar technologies.
• Experience designing and implementing large-scale data pipelines and processing systems.
• Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
• Strong programming skills in Python and experience working with version control systems (Git).
• Strong written and verbal communication skills, with an ability to effectively collaborate with cross-functional teams.
• Self-motivated, results-oriented, and able to work independently in a fast-paced environment.

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