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Collaborate closely with LIS, IT, laboratory, integrated practice and departmental staff as well as departmental leadership and administration to ensure fidelity and security of data, mining and analysis of data, compliance and quality of data and departmental medical practice.
$210,000 - $290,000 a yearFull-timeExpandApply 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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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.
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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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Experience in data architecture including data modeling, data mining and data ingestion. The Data Engineer is responsible for designing and developing data delivery on our data warehouse on AWS.This data will be consumed by visual dashboards/reports that Sony Music Publishing teams use to better understand trends and insights to improve market share/songwriter deals.
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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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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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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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Development and design of large-scale big data systems that perform complex event processing, machine learning and/or data mining. Experience working with RDBMS and NoSQL data stores on-premise and in the Cloud (e.g. SQL Server/Azure, PostgreSQL/Azure, MongoDB, MySQL, Cosmos DB/Azure, Aurora/AWS, Teradata, Oracle.
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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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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 Aurora, CO
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