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Data Mining Jobs in Reston, VA (NOW HIRING)

Data Scientist

Reston, VA

$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 ...

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 ...

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 ...

Senior Data Scientist

Washington, DC · On-site

$175K - $180K/yr

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

New

Senior Data Scientist

Washington, DC · On-site

$175K - $180K/yr

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

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Data Mining information

See Reston, VA salary details

$53.1K

$72.8K

$92.6K

How much do data mining jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data mining in Reston, VA is $72,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $88,400.00 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 Reston, VA? The most popular types of Data Mining jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Mining jobs? Cities near Reston, VA with the most Data Mining job openings:
Senior Data Scientist with Security Clearance

Senior Data Scientist with Security Clearance

Prescient Edge

Herndon, VA

Other

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

Prescient Edge is seeking a Senior Data Scientist to support a Federal government client. As a Senior Data Scientist , you will: * Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. * Proactively retrieve information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.

* Typically include creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. * Perform statistical analysis, applies data mining techniques, and builds high quality prediction systems. * Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau: major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.

* Have had prior experience with large data MultiINT analytics, ML, and automated predictive analytics. * Provide incremental enhancements to tools, capabilities, processes, and methods. * Possess in-depth knowledge and experience in using data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.

* Write either R or Python scripts to drive data science work: flows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python or SQL; statistical analysis; and data mining algorithms. * Possess prior experience with large data. spatial data, Multi-INT analytics, ML, and automated predictive analytics.

* Work with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, develop data schemas to structure observations. * Required to have working knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widely applicable procedures to support all-source intelligence analysis and production. * Create and work in distributed analytic environments, scaling algorithms to work on increasingly large and complex datasets that are larger than RAM.

* Serve as the primary POC for data science expertise, ensuring tradecraft compliance and analytic standards as it relates to data science techniques on the contract. * Provide advice on emerging data science methods, tools, algorithms, training, or requirements to advance DRI-7's analytic edge in its use of data science. * Work with DRI-7 vendors and the software developers to implement distributed algorithms to work on increasingly large and complex data sets.

* Possess a professional or graduate certificate in data science from a university, major online learning platform (all business for Data Scientists at any experience level). Benefits: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best in class benefits package that includes: * A competitive salary with performance bonus opportunities.

* Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A substantial retirement plan with no vesting schedule. * Career development opportunities, including on-the-job training, tuition reimbursement, and networking.

* A positive work environment where employees are respected, supported, and engaged. Job Requirements Security Clearance * Active TS/SCI with a CI Poly ot the ability to obtain a CI Poly. Desired Experience * Desired Experience: Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.

Desired Education * Desired Education: Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have bachelor's degree related to the category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree.

Location * Reston, VA. Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community.

Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.


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About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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