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Data Mining Jobs in Charleston, SC (NOW HIRING)

Notable experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. * Structured Query Language (SQL), Non-Structured Query Language (NoSQL ...

Notable experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. * Structured Query Language (SQL), Non-Structured Query Language (NoSQL ...

Data Scientist

North Charleston, SC ยท On-site

$80 - $100/hr

Notable experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. * Structured Query Language (SQL), Non-Structured Query Language (NoSQL ...

Perform data mining, statistical analysis, predictive modeling, and trend analysis to identify actionable business insights. * Evaluate existing reporting methods, databases, and legacy processes to ...

Perform data mining, statistical analysis, predictive modeling, and trend analysis to identify actionable business insights. * Evaluate existing reporting methods, databases, and legacy processes to ...

University - Data Scientist

Charleston, SC ยท On-site

$62K - $141K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with statistical and general-purpose programming languages for data analysis

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Data Mining information

See Charleston, SC salary details

$47.7K

$65.5K

$83.3K

How much do data mining jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data mining in Charleston, SC is $65,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $79,500.00 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 Charleston, SC?

The most popular types of Data Mining jobs in Charleston, SC are:

What are popular job titles related to Data Mining jobs in Charleston, SC?

For Data Mining jobs in Charleston, SC, the most frequently searched job titles are:

What cities near Charleston, SC are hiring for Data Mining jobs?

Cities near Charleston, SC with the most Data Mining job openings:

Infographic showing various Data Mining job openings in Charleston, SC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $65,507 per year, or $31.5 per hour.

Data Scientist with Security Clearance

acuCyber

Charleston, SC โ€ข On-site

Other

Posted 26 days ago


Job description

Job Description acuCyber is hiring for a Data Scientist to support a classified program by transforming complex, high-volume, and mission-relevant data into actionable insights that improve operational planning, system performance, and government decision-making. The Data Scientist works with mission analysts, systems engineers, software developers, cybersecurity personnel, and program stakeholders to identify analytical requirements and develop data-driven solutions throughout the program lifecycle. This position is responsible for acquiring and preparing data, conducting exploratory and statistical analysis, developing and validating predictive models, and communicating findings through clear visualizations, technical reports, and decision-support products. The Data Scientist applies statistical, machine-learning, and data-mining techniques while ensuring that classified and sensitive data is handled in accordance with applicable security requirements, program policies, and approved system configurations. Required Skills * Active TS/SCI Clearance
* Bachelor's Degree * 3-10+ years of professional experience with data science * Experience with software integration or testing, including analyzing and implementing test plans and scripts. * Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics * Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. * Experience applying Structured Query Language (SQL), Non Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index. * Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity. * Experience applying complex mathematical and statistical concepts. * Experience applying statistical and operations research methods and tools. * Experience employing spreadsheets for data manipulation and visualization. * Relevant industry certification such as CompTIA Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of Cloud Security (CCSK)/CompTIA A+/CompTIA Security+/EMC Data Science Associate (EMCDSA)/Cloudera Certified Data Scientist (CCDH)/Certified Apache Hadoop Developer (HCAHD) (Hortonworks)/Certified Information System Security Professional (CISSP)/Certified Cloud Professional (CCP) (Cloudera)/Microsoft Certified Professional Developer (MCPD)/Microsoft Certified Solution Developer (MCSD)/Microsoft Certified Solution Expert (MCSE)/Private Cloud/Certified Administrator for Apache Hadoop (CCAH) (Cloudera) Desired Skills * Master's Degree
* CI Poly