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Mining Job Jobs in Virginia (NOW HIRING)

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

AI and ML Engineer

Chantilly, VA ยท On-site

$99K - $225K/yr

AI and ML Engineer The Opportunity: As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical ...

Senior Environmental Engineer (REMOTE ROLE)

Reston, VA ยท On-site

$108K - $149K/yr

The ideal candidate has experience leading EPA in remediation of Superfund sites including mining sites. What you'll do: * Leverage hands-on knowledge and experience with site characterization and ...

Showing results 41-60

Mining Job information

What are some common challenges faced by workers in mining jobs, and how can they be addressed?

Mining jobs often involve working in physically demanding and sometimes hazardous environments, which can present challenges such as fatigue, exposure to dust or noise, and strict safety protocols. Teamwork and communication are essential to ensure safety and maintain productivity, as operations often rely on coordination between multiple crew members and departments. Employers typically offer thorough safety training and provide personal protective equipment to help mitigate risks. Staying alert, following procedures, and participating in ongoing training can help workers adapt and thrive in this environment.

What are the key skills and qualifications needed to thrive in a mining job?

To thrive in a mining job, you typically need knowledge of mining operations, safety protocols, and physical fitness, often supported by a high school diploma or relevant trade certification. Familiarity with heavy machinery, mine-specific software, and safety certifications such as MSHA (Mine Safety and Health Administration) are commonly required. Strong teamwork, attention to detail, and problem-solving skills help individuals excel in challenging and potentially hazardous environments. These skills and qualifications are crucial for ensuring safe, efficient, and productive mining operations.

What is a mining job?

Mining jobs refer to positions involved in the extraction of minerals, metals, and other geological materials from the earth. These jobs can include roles such as miners, engineers, equipment operators, geologists, and safety inspectors, among others. Mining jobs are found in both underground and surface mining operations, and often require specialized training or certifications. Workers in this field are responsible for operating machinery, ensuring safety compliance, and sometimes processing the extracted materials. The mining industry is essential for providing raw materials used in many products and industries worldwide.

What is the difference between Mining Job vs Drilling Technician?

AspectMining JobDrilling Technician
CredentialsHigh school diploma or equivalent; certifications in safety and equipment operationHigh school diploma; certifications in drilling operations and safety
Work EnvironmentUnderground or surface mining sites, often outdoorsConstruction sites, oil and gas fields, underground or surface drilling locations
Industry UsageMining industry, mineral extractionOil and gas, mineral exploration, construction

Mining jobs and drilling technicians share similar credentials and work environments, often involving outdoor, physically demanding work. Both roles are essential in resource extraction industries, with overlapping safety and technical training. However, mining jobs focus on mineral extraction, while drilling technicians specialize in operating drilling equipment for oil, gas, or mineral exploration.

Infographic showing various Mining Job job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 25% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Data Scientist - Tech focus - Top Secret required to apply - DC area

Bow Wave LLC

Reston, VA โ€ข On-site

$165K - $175K/yr

Full-time

Re-posted yesterday


Job description

Conducts data analytics, data engineering, data mining, exploratory analysis, predictiveanalysis, and statistical analysis, and uses scientific techniques to correlate data into graphical,written, visual and verbal narrative products, enabling more informed analytic decisions.Proactively retrieves information from various sources, analyzes it for better understanding aboutthe data set, and builds AI tools that automate certain processes. Duties typically include:creating various ML-based tools or processes, such as recommendation engines or automatedlead scoring systems. Performs statistical analysis, applies data mining techniques, and buildshigh quality prediction systems. Should be skilled in data visualization and use of graphicalapplications, 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. Should have prior experiencewith large data Multi-INT analytics, ML, and automated predictive analytics. Contractor shall:• Create data packages, in the form of databases, reports, and visualization'• Communicate ongoing data science activities, technical findings, and data products for bothtechnical and non-technical customers• Extract relevant features from large data stores containing open source, PIA, and CAI,containing bad records, partial records, errors, or other forms of "noising."• Extract features from open source information stored in a wide range of possible formats,including JSON, XML, raw text logs, industry-specific encodings, and graph link data;• Apply natural language processing, computer vision, signal processing, and speaker and speechrecognition algorithms to identify objects in text, image, video, and audio files;• Apply descriptive and inferential statistics to describe data and makepredictions about the data, including statistical tests to determine confidence for a hypothesis,common summary statistics (e.g. mean, variance, and counts), fit distributions to datasets anduse those distributions to predict event likelihoods;• Be able to execute data science method using parallel computingframeworks (e.g. deepleaming4j, Torch, Tensor Flow, Caffe, Neon, NVIOFFICE CUDA DeepNeural Network library (cuDNN), and OpenCV)) and distributed data processing frameworks( e.g. Hadoop (including HDFS, Hbase, Hive, Impala, Giraph, Sqoop ), Spark (inlcuding MLib,GraphX, SQL and Dataframes)• Be able to execute data science method using common programming/scriptinglanguages: Python, Java, Scala, R (statistics).