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Exploration Manager Mining Jobs in Virginia (NOW HIRING)

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Conducting data analytics, data engineering, data mining, exploratory analysis, predicative ... Python; managing and margining of disparate data sources, preferably through Python, or SQL ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Conducting data analytics, data engineering, data mining, exploratory analysis, predicative ... Python; managing and margining of disparate data sources, preferably through Python, or SQL ...

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

Responsibilities : • Conducting data analytics, data engineering, data mining, exploratory ... Python; managing and margining of disparate data sources, preferably through Python, or SQL ...

Jobsbridge

Big Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

... explore and discover new insights - Analysis, architecture, design, and development of data ... mining techniques and working with data intensive applications - Proven experience with data ...

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Exploration Manager Mining information

What is the difference between Exploration Manager Mining vs Geologist?

AspectExploration Manager MiningGeologist
Required CredentialsBachelor's degree in geology, mining engineering, or related field; often with project management experienceBachelor's or master's degree in geology or earth sciences
Work EnvironmentLeadership role overseeing exploration projects, field teams, and resource assessmentFieldwork, data analysis, and reporting; often in exploration sites or laboratories
Industry UsageUsed in mining companies for overseeing exploration activities and resource developmentUsed across mining, oil, and environmental sectors for geological assessments

The Exploration Manager Mining typically holds a leadership position with broader responsibilities, including project management and team oversight, whereas a Geologist focuses more on fieldwork, data collection, and analysis. Both roles require strong geological credentials, but the Exploration Manager's role emphasizes management and strategic planning within the mining industry.

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Infographic showing various Exploration Manager Mining job openings in Virginia as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

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

Bow Wave LLC

Reston, VA • On-site

$165K - $175K/yr

Full-time

Re-posted 13 days ago

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).