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

Data ScientistWashington DC or Remote Full TimeResponsibilities:Modeling complex problems ... mining and visualization techniquesParticipating in the areas of architecture, design ...

Data Scientist

Springfield, VA · On-site

$92K - $166K/yr

Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization. * Statistical/mathematical modeling. * Experience managing data science projects, data ...

Mid Data Scientist

Washington, DC · 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 ...

Data Scientist

Springfield, VA · On-site

$92K - $166K/yr

Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization. * Statistical/mathematical modeling. * Experience managing data science projects, data ...

Mid Data Scientist

Washington, DC · On-site

$130K - $160K/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 ...

Showing results 41-60

Data Mining Online information

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 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 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.

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.

How do you become a data mining online?

To become a data miner online, you typically need a background in data analysis, statistics, or computer science, along with skills in programming languages like Python or R. Gaining experience with data mining tools and techniques, completing relevant online courses or certifications, and building a portfolio of projects can help establish expertise in the field.

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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Scientist

1872 Consulting

Washington, DC • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Data ScientistWashington DC or Remote Full TimeResponsibilities:Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniquesParticipating in the areas of architecture, design, implementation, and testingProposing innovative ways to look at problems by using data mining approaches on the set of information availableDesigning experiments, testing hypotheses, and building modelsConducting advanced data analysis and designing highly complex algorithmApplying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systemsQualifications:At least 5 years experience in Java, Spring and MySQL (or any relational database) and PythonExperience with databases (including NoSQL)Experience in machine learning frameworks and librariesSupervised and Unsupervised learningMachine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)Computer Science or Mathematics or Physics degreeExcellent communication and analytical skillsWillingness to work hard (50 hrs per week)Very good EnglishNice To Have (Not Required):Experience with Apache SparkNatural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)R programming language


1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014