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Demonstrated expertise in hydrology, water resources, or environmental engineering with a specialization in one or more areas, but not limited to, surface and/or groundwater hydrology, climate change, remote sensing, extreme events, land-atmosphere interactions, artificial intelligence, big data, or machine learning.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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As a member of the Data Science team, the Senior Data Scientist will engage in statistical and exploratory analysis of datasets such as medical devices data (e.g. insulin pumps and glucose sensors) and smart wearable devices, alongside patient contextual data, and use the insights to build robust classification and prediction models geared toward diabetes management products using advanced artificial intelligence, machine learning algorithms, and/or physiological modeling.
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Perform fluid flow path design, data analyses, computational fluid dynamics (CFD), and optimization analyses, including modeling and analysis of thermodynamic systems for power generation, waste heat recovery, and cooling.
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Keywords: Senior Environmental Planner, NEPA, Environmental Impact Analysis Proces, EIA, Air Force, DoD, airspace modeling, military aircraft noise modeling. Proven experience working on airspace issues and FAA NEPA, airspace modeling, and military aircraft noise modeling.
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Work with our business partners to identify requirements and architecture and implement scalable, open solutions using Cloud Native technologies, including and leveraging AWS services, Machine Learning techniques, GIT, Jenkins, Docker containerization and virtualization, and Terraform.
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Understanding that this is a field that is very much in demand, I honed my skills in this, by learning statistics, programming and machine learning, which I knew would help me in the days ahead.
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Leveraging computational fluid dynamics (CFD), wind tunnel testing, reduced order modeling, and flight data, we take a proactive approach to supporting cross-disciplinary design initiatives.
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In Support Product we build highly available and scalable, Machine Learning driven products that integrate with the broader Cash App ecosystem to help customers solve their problems. The team currently consists of server engineers, designers, and product management, machine learning modelers and applied machine learning engineers located in Australia and the United States.
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The IT Program Manager I must have expert level skills in Data Warehousing and BI architecture such as the ETL process, dimensional modeling, OLAP, and Dashboards. Experience with reporting systems and data warehouse requirements gathering, analysis and design of ETL processes using SQL Server Integration Services (SSIS.
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You thrive on building data solutions and analytics tools, drawing actionable conclusions and digging deeper to uncover trends that will improve our machine learning systems. You will be joining a dedicated team of Data Scientists, Data Analysts, Machine Learning Engineers and Data Engineers responsible for the development of ML and Deep Learning models, novel performance metrics, and the creation of data models and pipelines that fuel that effort.
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Connectomics network analysis and machine learning modeling confer a very significant advantage. Strong proficiency and independence with large data analysis platforms (such as neuroimaging or microbiome platforms), multivariate modeling strategies and network connectivity analyses.
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Maintain awareness of and engage with cutting edge open source machine learning tools, especially those related to chemistry and materials science. Key responsibilities of this role will include training and using machine learning models to discover innovative materials, leading molecular simulation efforts, and working in close concert with our chemists, materials scientists, manufacturing team, and business development experts.
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Fisker is in search of a Site Reliability Engineer, reporting to the Director of DevOps, Digital Product & Edge Computing, to plan, implement, and scale our many SRE/DevOps initiatives. 5+ years with managing databases (Postgres, MySQL) and data warehouses (Redshift, BigQuery, Clickhouse.
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MicroStation and experience in stormwater modeling using WaterCAD or SWMM software is desired. Assist the preparation of engineering designs by collecting and studying reports, maps, drawings, aerial photographs, and tests on soil composition, terrain, hydrological characteristics, and related topographical and geologic data.
$31.63 - $38.66 an hourFull-timeExpandApply NowActive JobUpdated Today
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