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Data Mining Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton

Data Scientist

Mclean, VA · On-site

Responsibilities : • Experience with data exploration, data cleaning, data analysis, data visualization, or data mining • Experience analyzing structured and unstructured data • Experience with ...

Booz Allen Hamilton

Data Scientist

Arlington, VA · On-site

Responsibilities : • analyzing structured and unstructured data sources • data exploration, data cleaning, data analysis, data visualization, data mining, or AI and ML techniques, including NLP ...

VTG

Advanced Data Scientist, Senior

Chantilly, VA · On-site

Apply data mining techniques, doing statistical analysis, and building high quality prediction models. Obtain data through advanced computerized models, extrapolate data patterns through advanced ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

Prescient Edge

Senior Data Scientist

Herndon, VA · On-site

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Perform data mining, cleaning, integration, transformation, manipulation, and visualization for small to large datasets. * Apply software and programming languages and tools such as R, Python, SAS ...

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Perform data mining, cleaning, integration, transformation, manipulation, and visualization for small to large datasets. * Apply software and programming languages and tools such as R, Python, SAS ...

Peraton

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. * Utilize scientific techniques to correlate data into graphical, written ...

Peraton

Data Scientist

Reston, VA · On-site

$112K - $179K/yr

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. * Utilize scientific techniques to correlate data into graphical, written ...

AERMOR

Data Engineer

Norfolk, VA · On-site

$98K - $118K/yr

The successful candidate will have proven technical capability in data mining, integration, transformation, visualization, and backend data systems, along with experience supporting data collection ...

Peraton

Data Scientist

Reston, VA · On-site

$112K - $179K/yr

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. * Utilize scientific techniques to correlate data into graphical, written ...

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All JobsData Mining JobsData Mining Jobs in Virginia

Data Mining information

See Virginia salary details

$50.6K

$69.4K

$88.2K

How much do data mining jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data mining in Virginia is $69,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,300.00 per year, depending on experience, location, and employer.

How much money do data miners make?

Data miners typically earn a median annual salary of around $60,000 to $80,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced data miners with skills in SQL, Python, or data analysis tools can earn higher salaries or freelance rates.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information using techniques like statistical analysis and machine learning. They often use tools such as SQL, Python, or R and work to support decision-making, research, or business strategies. Strong analytical skills and knowledge of data management are essential for this role.

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 or training.

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 or data mining.

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 Virginia? The most popular types of Data Mining jobs in Virginia are:
What are popular job titles related to Data Mining jobs in Virginia? For Data Mining jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Virginia look for? The top searched job categories for Data Mining jobs in Virginia are:
What cities in Virginia are hiring for Data Mining jobs? Cities in Virginia with the most Data Mining job openings:
Data Mining jobs near you
Data Scientist with Security Clearance

Data Scientist with Security Clearance

Data Machines

Reston, VA • On-site

Other

Posted 5 days ago

Key responsibilities

  • Apply statistical analysis, data mining, and artificial intelligence techniques to analyze data and generate insights.

  • Design and implement data-driven solutions focusing on advanced analytical methods, data models, and visualizations.

  • Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations.

Job description

Location: On-site in Reston, VA Job Description: Come join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world, critical mission problems. This position will be based out of our Reston, VA office with a 3 day a week onsite requirement. Responsibilities: Data Machines seeks an energetic data scientist with the desire to work with a tightly-knit team supporting the development and production of cutting-edge defense and intelligence capabilities. The ideal candidate will apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. They will provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. The candidate will design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. The ideal candidate will develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Finally, they will identify trends and problems through complex big data analysis and will maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Minimum Qualifications: * Four (4) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related field
* BS in software Engineering or at least 4 years of experience managing data science projects
* At least three (2) years of direct experience in machine learning Demonstrates knowledge of data mining methods, databases, data visualization and machine learning
* Ability to communicate analysis techniques, concepts, and products
* Ability to develop data-driven solutions, data models, and visualizations Data Bricks Certification
* Must be able to pass a background check and a drug screen
Education: * Advanced Degree (MS or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline
* Experience with open-source cloud tools (e.g. Docker, Kubernetes, OpenStack)
* Experience with public cloud (e.g. AWS, Azure) security
* Software Development Experience (any language)
* Ability to obtain a Secret clearance.

Apply