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Data Mining Jobs in Washington (NOW HIRING)

Data Scientist

Washington, DC ยท On-site

$120 - $135/hr

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

Data Scientist, Lead

Washington, DC ยท On-site

$114K/yr

Overview BigBear.ai is seeking a Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific ...

Data Scientist, Lead

Washington, DC ยท On-site

$120 - $190/hr

Perform statistical analysis, apply data mining techniques, and build high quality prediction systems. The successful candidate should be skilled in data visualization and use of graphical ...

New

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to uncover insights and enable data-driven decisions. Use scientific methods ...

Overview BigBear.ai is seeking a Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific ...

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and NoSQL databases, search indexes, and web application servers * Leverage tools such as ...

Data analysis and predictive analytics such as statistics, rule-based systems, regression and rule-based systems, regression, and data mining systems, and deploying such systems Job Requirements Job ...

Showing results 21-40

Data Mining information

See Washington salary details

$57.8K

$79.3K

$100.8K

How much do data mining jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data mining in Washington is $79,281.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,300.00 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 Washington? The most popular types of Data Mining jobs in Washington are:
What cities in Washington are hiring for Data Mining jobs? Cities in Washington with the most Data Mining job openings:
Infographic showing various Data Mining job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,281 per year, or $38.1 per hour.

Data Scientist

Bridge Defense

Washington, DC โ€ข On-site

$120 - $135/hr

Other

Re-posted 22 hours ago


Job description

About Bridge Defense

Bridge Defense is redefining how modern defense technology is delivered. Based in Washington, D.C., we are built for the dynamic mission environment facing the Department of Defense, the Intelligence Community, and federal law enforcement agencies. We provide full-spectrum national security solutions that combine secure infrastructure, cleared talent, and missionโ€‘ready software to meet evolving defense challenges. Our services include secure software development in classified environments and the design and implementation of advanced IT and cybersecurity capabilities ranging from secure cloud architectures and enterprise infrastructure to data center operations, scientific analysis, cuttingโ€‘edge cyber defense, and intelligence analysis.

We are led by technologists and veterans with firsthand mission experience, which enables us to understand both the operational realities and the innovation needed to succeed. Our approach is agile and outcomeโ€‘based, delivering results in weeks rather than months whenever possible.

At Bridge Defense we value people, integrity, and excellence. We foster an environment where innovation thrives in support of traditional mission requirements. Our team members receive competitive compensation, robust benefits, professional development and certification opportunities, and clear paths for growth while working on the nationโ€™s most critical projects.

Core Values
  • Innovation & Responsiveness: We push beyond legacy models with efficient, techโ€‘led solutions built to scale and evolve.
  • Trusted Performance: Security, compliance, and deep experience in delivering to demanding environments guides all we do.
  • Mission Focused Expertise: From veteran leadership to cleared engineers, our people understand both the technology and the mission.
Essential Duties and Responsibilities
  • Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and use scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
  • Proactively retrieve information from various sources, analyze it for better understanding about the data set, and build AI tools that automate certain processes.
  • Duties typically include:
  • Creating various MLโ€‘based tools or processes, such as recommendation engines or automated lead scoring systems.
  • Perform statistical analysis, apply data mining techniques, and build 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 prior experience with large data Multiโ€‘INT analytics, ML, and automated predictive analytics.
Required Qualifications
  • Bachelorโ€™s degree + 8 years of experience or 12 years of experience in lieu of a degree
  • 3+ years of experience with major data science languages, such as Python and R
  • 3+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases through Python, R, and/or SQL
  • Experience with database design and administration in DBMS such as SQL Server, PostgreSQL, etc.
  • Experience with data analytics, data mining, statistical analysis, or AI/ML
Preferred Qualifications
  • Experience with data visualization software, such as Tableau and PowerBI
  • Experience conducting data architecture and ETL for the DoD or a federal agency
  • Familiarity with HUMINT
  • Knowledge of DevOps tools and technologies, including git, Jenkins, SonarQube, etc.
General Factors
  • Depending on project requirements, may be required to work within a compressed schedule; more than 40โ€‘hour work weeks should be expected when schedules demand it.
  • Willing to travel, if needed.
  • No Relocation.
  • Must be able to sit/stand at a desk for long periods and must be able to lift 20 pounds occasionally.
  • Must be able to multiโ€‘task and rapidly change priorities with limited notice.
Clearance

TS/SCI with current CI Poly (adjudicated within the past 5 years or ability to pass a CI Poly)

Salary Range

120K - 135K

Bridge Defense is an Equal Employment Opportunity and It is the policy of the company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation and gender identity or expression, national origin or protected veteran status and will not be discriminated against on the basis of disability. If you are a qualified disabled veteran or individual with a disability and need reasonable accommodation to use or access our online system, please contact us at 202-436-9222.

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