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Data Mining Jobs in Georgia (NOW HIRING)

STEMtech

Data Scientist

Atlanta, GA

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. * Selecting features, building ...

STEMtech

Data Scientist

Atlanta, GA · On-site

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. * Selecting features, building ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site

SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business ...

Home Depot

Sr Data Analyst

Atlanta, GA · On-site

$81K - $103K/yr

... data mining skills and be familiar with the BI tools and technology used by the AMP team to support project needs (Tableau / Tableau Server, SQL Server Management Studio, SQL Assistant, ACL, Teradata ...

ARC Group

Sr. Data Scientist

Atlanta, GA

Experience in data mining and understanding of machine-learning and operations research is an advantage * Analytical mind and business acumen with a problem-solving aptitude and the communication ...

Sonoma Consulting Inc.

Senior Big Data Engineer

Duluth, GA

$51.25 - $68/hr

Developing data analytics, data mining and reporting solutions using Teradata Aster and Hortonworks Hadoop. Working on projects that provide real-time and historical analysis, decision support ...

PSRTEK

Data Analyst at Atlanta, GA

Atlanta, GA · On-site

Prior experience with statistical analysis, data mining and analysis to report trends, patterns and forecasting is preferred * Experience working with data visualization tools such as Power BI or ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA

$110K - $132K/yr

Python, R, SAS, Julia (Python Preferred) 5 years of experience using SQL with any database 2 years of technical expertise with data models, data mining, and segmentation techniques Hands-on ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Python, R, SAS, Julia (Python Preferred) 5 years of experience using SQL with any database 2 years of technical expertise with data models, data mining, and segmentation techniques Hands-on ...

ManTech

Senior Data Architect Scientist

Augusta, GA · On-site

Uses large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action; uses a variety of data mining/data analysis ...

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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 Jul 19, 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 does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

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 data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications.

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 job?

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.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

What are the key skills and qualifications needed to thrive in the Data Mining position, 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 July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 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.
Data Scientist

Data Scientist

STEMtech

Atlanta, GA

Full-time

Re-posted 4 days ago

Job description

Job Description

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • 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 relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
Qualifications
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Great communication skills
  • Experience with data visualisation tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL, Hive.
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills 
  • Data-oriented personality
Additional Information

All your information will be kept confidential according to EEO guidelines.

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