Proficiency in R, Python, SAS or other complex analytical tool, and Tableau or other data mining/visualization software. Leverage SQL development skills to perform full lifecycle data mining activities, including requirements analysis, data quality assessment, data profiling, design and development of analytic data sets, data extraction, transformation, and loading (ETL) from relational databases and flat-file sources.

As a Geotechnical Analyst - Underground Mining, you will be responsible for managing and optimizing underground excavation stability within the company's operations. Bachelor’s degree in Geological, Geotechnical or an appropriate Engineering discipline and three (3) years of related experience in hard rock mining relating to rock mechanics and underground excavation stability, OR Master’s degree in an appropriate Engineering discipline and two (2) years of related experience in hard rock mining relating to rock mechanics and underground excavation stability.

Manage and review underground excavation stability data collection, analysis, and remedial work, including monitoring data processing, rock strength parameters, and geologic structures. Utilize appropriate software (MS Office, AutoCAD) and geotechnical data analysis tools, including Mintec’s MineSight (or equivalent) and RocScience software (unWedge, Phase2, RS3, Dips.

Performs analyses, development, and evaluation of data mining in the Snowflake cloud data warehouse environment which includes data design, database architecture, and data management utilizing Informatica PowerCenter, Intelligent Data Quality, and Enterprise Data Catalog.

Perform advanced statistical analyses, data mining, and predictive modeling to identify actionable insights and solutions. Proficient in web scraping, data extraction, data cleansing, and data visualization techniques.

Experience with business intelligence and data mining tools such as BusinessObjects, MicroStrategy, Tableau, QlikView, Power BI, Hadoop, SAS Enterprise Guide/Miner. Perform statistical/analytical analysis, root cause analysis, data mining, business intelligence, visual analytics/visualization in support of BSA/AML operations.

The Company has Bitcoin mining data center operations in central Texas and electrical switchgear engineering and fabrication operations in Denver, Colorado. The Data Center Assistant Supervisor will be responsible for the installation of Bitcoin Miners and maintaining a clean environment and the equipment.

Participate in the development and tuning of models using data mining and SAS/SQL queries in support of process optimization, solving and testing for various solutions; 2-3 years of experience in data mining / statistical analysis tools such as SAS, SPSS, Python or R.

Provides support to Komatsu’s mining automation and technology sales and product management efforts including simulation studies, market and competitive analyses, application feasibility input, economic analysis principles, and other related data collection and analysis.

Advanced analytical skills – Experience with data analysis and/or data mining, knowledge of SAS, SQL, MicroStrategy, Big Data or other analytics tools like R, Python, Tableau, Power BI.

The Junior Data Analyst assist the analytics team in collecting and interpreting data to help a company take actionable steps to improve their performance and meet goals. As an entry-level employee, the Junior Data Analyst is expected to work as a cohesive member of the Matrix Analytics team.

Experience in hard rock underground mining, preferably gold. Due to increased production, Northern Star (Pogo) LLC has a challenging and rewarding opportunity for a Mining Engineer at our world-class Pogo operation in Alaska on a rotational camp schedule.

Experience with Bitcoin and cryptocurrency mining and infrastructure preferred but not required. Riot is actively expanding and improving its Bitcoin mining operations through innovation, expansion, and procurement, including large-scale expansion of its Texas-based mining and hosting facilities.

In this role, you will construct data analytical infrastructure, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. Axient is seeking a Mid-Level Data Engineer to join our analytics team in Huntsville Alabama.

Experience in NGS data analysis (expression profiling, mutations and structural variations, and differential peak analysis), data integration, and data mining. The primary purpose of the Associate Data Scientist position is to provide bioinformatics analysis of next generation sequencing (NGS) data for faculty across the institution, to process NGS data for Advanced Technology Genomics Core facility, to perform quality control (QC) analysis and to maintain QC metrics and sample records of NGS experiments on the servers, and to meet with faculty to review data analysis results.