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Data Mining Online Jobs (NOW HIRING)

Data Scientist

Washington, DC · On-site

$120 - $135/hr

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis ... online system, please contact us at 202-436-9222. #J-18808-Ljbffr

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

Data Scientist

Virginia, MN · On-site

$90 - $130/hr

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

New

Data Mining experience * Big Data experience * Requirements facilitation and documentation experience * Advanced SQL skills * Experience working with offshore teams NICE TO HAVE: * Experience working ...

Data Mining experience * Big Data experience * Requirements facilitation and documentation experience * Advanced SQL skills * Experience working with offshore teams NICE TO HAVE: * Experience working ...

... data mining systems, and deploying such systemsJob Requirements The following experience/abilities are desired for all data analysts supporting this contract Using the hardware/software/tools, to ...

They are seeking a Data Scientist with extensive experience in data mining and machine learning to tackle business analytics challenges. Qualifications : Required : • Minimum 8 years of relevant ...

Data Engineer with Palantir

Dallas, TX · On-site

$113K - $136K/yr

Strong experience in Data Mining and data integration * Using Ingested Data from Real time streaming Kafka * Experience delivering ETL, data warehouse and data analytics capabilities on bigdata ...

They are seeking a Data Scientist with extensive experience in data mining, artificial intelligence, and machine learning to apply advanced analytics in business contexts. Qualifications : Required ...

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 mining, statistics, NLP or related field. - Programming skills in one of the following ... online testing with big data set. - Excellent communications and organizational skills - Prior ...

... data mining, statistics, NLP or related field. - Programming skills in one of the following ... online testing with big data set. - Excellent communications and organizational skills - Prior ...

Experience in data mining and understanding of machine-learning and operations research is an ... For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com.

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.
More about Data Mining Online jobs
What cities are hiring for Data Mining Online jobs? Cities with the most Data Mining Online job openings:
What are the most commonly searched types of Data Mining jobs? The most popular types of Data Mining jobs are:
What states have the most Data Mining Online jobs? States with the most job openings for Data Mining Online jobs include:
What job categories do people searching Data Mining Online jobs look for? The top searched job categories for Data Mining Online jobs are:
Infographic showing various Data Mining Online job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Bridge Defense

Washington, DC • On-site

$120 - $135/hr

Other

Re-posted yesterday


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 mission‑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, cutting‑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 outcome‑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 nation’s most critical projects.

Core Values
  • Innovation & Responsiveness: We push beyond legacy models with efficient, tech‑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 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.
  • 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 Multi‑INT analytics, ML, and automated predictive analytics.
Required Qualifications
  • Bachelor’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 40‑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 multi‑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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