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Data Mining Jobs in Georgia (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Big Data Engineer

Duluth, GA · On-site

$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 ...

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 ...

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 ...

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 ...

Perform data mining, trend analysis, and data quality monitoring. Develop and maintain automated reporting and data-processing solutions using scripting tools such as Python. Support testing and ...

Data Analyst - IT

Atlanta, GA · On-site

$73K/yr

Perform data mining, trend analysis, and data quality monitoring. Develop and maintain automated reporting and data-processing solutions using scripting tools such as Python. Support testing and ...

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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 11, 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 cities in Georgia are hiring for Data Mining jobs? Cities in Georgia with the most Data Mining job openings:
Infographic showing various Data Mining job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $59,106 per year, or $28.4 per hour.

Full-time

Re-posted 28 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.