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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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The position of Data Scientist will attend to all stages of data science projects utilizing technologies and tools such as Deep Learning, Traditional Machine Learning, and advanced analytical tools.
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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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Data Scientists contribute to projects involving one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Learning, Deep Reinforcement Learning, Physics Inspired ML, Classification Systems, Natural Language Processing, Artificial Intelligence, or Computer Vision.
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Earned graduate degree (Ph. D. or M.Sc. + 2 years relevant industry experience) in a highly quantitative discipline (e.g., machine learning, statistics, computer science, applied mathematics, theoretical physics, physical chemistry, econometrics, bioinformatics.
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Develop image processing algorithms for Electro-Optical/Infrared (EO/IR) or Hyperspectral Imagery (HSI) data. You will develop image processing algorithms, architect all links in the signal processing chain, guide a team of developers, and validate system performance on a variety of modeling and simulation platforms.
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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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Continuously improve knowledge and abilities in the areas of software and data engineering, statistical learning, and machine learning. This role will architect, implement, maintain, and enhance data solutions (data warehouse, ETL processes, custom-built software, web applications) that help create business strategies, help create new revenue streams, improve hockey and soccer operations, and help elevate athlete performance.
$120,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Incorporate machine learning, statistical modeling, visualization and analytics tools and data sources into the development of processes and techniques to use data effectively and efficiently.
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Proficiency in Microsoft Power BI, including data modeling, DAX (Data Analysis Expressions), and M Query. This position will be responsible for overseeing the design, development, and implementation of business intelligence solutions, with a strong focus on Microsoft Power BI, data warehouse management, ETL processes, and statistical data analysis.
$115,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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.
$125,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Late Dr Rahul Balusu was the one who taught us computational linguistics/NLP. I was fascinated by howlanguage could be morphed into algorithms that simulated “language understanding” in machines.
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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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The Additive Manufacturing Quality Engineer will act as the command center for all data and trends related to 3D printing development and production performance. 1)Serve as the central hub for performance data and trends, leveraging advanced data analysis techniques to monitor, predict, and enhance 3D printing production efficiency.
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