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Data Mining Online Jobs in Reston, VA (NOW HIRING)

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 ...

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 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 ...

Data Scientist - Mid

Washington, DC ยท On-site

$140K - $155K/yr

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

Data Scientist - Mid

Washington, DC ยท On-site

$140K - $155K/yr

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

Data Scientist - Mid

Washington, DC ยท On-site

$140K - $155K/yr

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

Mid Data Scientist

Washington, DC ยท On-site

$130 - $160/hr

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

Showing results 21-40

Data Mining Online information

What are some common challenges faced by professionals working in data mining online, and how can they be addressed?

Professionals in online data mining often encounter challenges such as handling large, unstructured datasets and ensuring data privacy and security. Working remotely, they must also stay updated with rapidly evolving tools and algorithms. Effective solutions include leveraging cloud-based platforms for scalable processing, collaborating closely with IT and data security teams, and participating in regular upskilling through webinars and online courses to maintain technical proficiency.

What is data mining in an online context?

Data mining online refers to the process of using algorithms and statistical methods to analyze large sets of digital data collected from the internet, such as website activity, social media interactions, or online transactions. The goal is to discover patterns, trends, and useful information that can help businesses make informed decisions, improve customer experiences, or detect fraud. Online data mining often involves the use of specialized software and tools to extract and process data from various online sources efficiently.

What is the difference between Data Mining Online vs Data Analyst?

AspectData Mining OnlineData Analyst
Required CredentialsBachelor's in CS, Statistics, or related; certifications like Certified Data Mining SpecialistBachelor's in Data Science, Statistics, or related; often similar certifications
Work EnvironmentPrimarily remote, project-based, often freelance or contractOffice or remote, ongoing analysis roles within organizations
Industry UsageUsed across tech, e-commerce, marketing for extracting insights from online dataUsed in finance, healthcare, marketing for interpreting data trends

Data Mining Online focuses on extracting patterns from online data sources, often in a freelance or remote setting. Data Analysts interpret data within organizations to inform decisions. While both roles require similar skills and credentials, Data Mining Online emphasizes online data sources and often involves project-based work, whereas Data Analysts typically work within a company's data team on ongoing analysis.

What are the key skills and qualifications needed to thrive as a data mining specialist, and why are they important?

To thrive as a Data Mining Specialist, you need strong analytical skills, a solid background in statistics, and proficiency in programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Familiarity with data mining tools such as RapidMiner, Weka, or SAS, as well as database management systems and machine learning frameworks, is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and present actionable insights to stakeholders. These skills and qualities are crucial for extracting valuable patterns from large datasets and driving data-driven decision-making in organizations.

How do I become a data mining online?

To become a data miner online, you should develop skills in data analysis, programming languages like Python or R, and familiarity with data mining tools such as RapidMiner or Weka. Gaining knowledge of databases, machine learning, and data visualization can also enhance your qualifications, and completing relevant certifications can improve job prospects.
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 are popular job titles related to Data Mining Online jobs in Reston, VA? For Data Mining Online jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Mining Online jobs in Reston, VA look for? The top searched job categories for Data Mining Online jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Mining Online jobs? Cities near Reston, VA with the most Data Mining Online job openings:
Infographic showing various Data Mining Online job openings in Reston, VA 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.

Data Scientist, Lead

AIToolboard

Washington, DC โ€ข On-site

$120 - $190/hr

Other

Posted 4 days ago


Job description

# Data Scientist, LeadBigbear.aiWashington, USFull-time## About the RoleOverviewBigBear.ai is seeking a Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. The successful candidate will proactively retrieve information from various sources, analyze it for better understanding, and assist with building AI tools that automate key processes. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the โ€œground levelโ€ of a new and exciting program with a critical Department of War (DoW) customer.What you will doDuties typically include: creating various ML-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. The successful candidate should 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. Additionally, the candidate should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.What you need to haveโ€ข Must possess a TS/SCI clearance with a CI poly (or ability to obtain)โ€ข Bachelorโ€™s degree in data science, data engineering, mathematics, or another related fieldโ€ข Minimum of 3 years of experience conducting analysis using data science or engineering (an additional 4 years of experience may be substituted for the above education requirements)โ€ข Deep understanding and experience using Python and/or Rโ€ข Prior experience with large data, multi-INT analytics, machine learning, and automated predictive analyticsWhat we'd like you to haveโ€ข Current CI polyโ€ข Masterโ€™s degree in data science, data engineering, mathematics, or another related fieldโ€ข At least 8 years of experience conducting analysis using data science or engineering, with at least a portion of experience within the last 2 yearsโ€ข Experience working creating products for Object Based Intelligence purposesโ€ข Experience within the DoW and/or US Intelligence CommunityAbout BigBear.aiBigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.aiโ€™s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities. #J-18808-Ljbffr