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Oversee data architecture, data modeling, metadata management, data migration, data mining, data science, data profiling, Master Data Management (MDM), and data governance activities.
$140,250 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We serve over 1,000 municipal, federal, state/provincial, hydropower, mining, academic, and consulting organizations in over 60 countries that collect, manage, and process large volumes of water data.
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Familiarity with relevant technologies and frameworks, such as Apache Kafka and SkySpark for streaming IOT data, BIM tools like Autodesk Revit, geospatial libraries (e.g., GDAL, PostGIS, GeoPandas, ArcGIS), imagery processing tools (e.g., OpenCV), and text mining libraries (e.g., NLTK, SpaCy.
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The Senior Groundwater Modeler/Hydrogeologist will be responsible for developing and managing the technical scope of work and field investigations, data analysis, developing conceptual site models and groundwater numerical models, groundwater resource evaluations, open pit, and underground mine dewatering assessments and designs, and reporting to support the needs of mining clients in the US and abroad.
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HDR’s Fire & Life Safety (FLS) team provides essential consulting and design expertise to a broad range of markets including: science/tech/labs, data centers/mission-critical, auditoriums/arenas, electric vehicle facilities, federal (DoD, NASA, VA, NPS, GSA), aviation, mining, power generation, hydropower, oil & gas, water/wastewater, and many more.
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Masters’ degree in data science, computational linguistics, data mining, machine learning, statistics, computer science, operations research, engineering, mathematics or related field required.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Knowledge, Skills, and Abilities (KSAs): Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management.
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The day-to-day: As a Data Scientist you will utilize experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high level language (e.g. Python), statistical analysis, variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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SQL, Python, Pandas, Statistics, Data mining, Healthcare, EHR, Dataset, Annotation, Prodigy, Brat, NoSQL, Elasticsearch, Jupyter, Unix Shell, Matplotlib, Seaborn, ggplot, Tableau, HL7. Perform data mining and analysis using SQL and Python (Pandas.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Are familiar with all aspects of software development, including client/server programming Have the ability to drive and review APIs for back-end functionality Are interested in data mining, analytics, and/or machine learning Travel Percentage Required 0-25% Relocation Assistance Provided Yes US Citizenship Required.
$140,000 - $189,546 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in data mining, forecasting, simulation, and/or predictive modeling. The Senior Business Intelligence Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
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Statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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Our engineering, project management, services and solutions portfolio covers a wide range of industries - Mining, Pulp & Paper, Metals, Aluminum and Cement, Data centers and Food and Beverage.
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At least one year of experience 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 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.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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We work with customers across the world in the light industry (institutional, food & beverage, manufacturing, transportation, textile care, and global high tech) and heavy industry (chemical, downstream, paper, mining, power and primary metals industries) to reduce, reuse, and recycle their water while protecting their systems and equipment.
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data mining jobs in Englewood, CO
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