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Director, Software Engineering – QRM. Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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Proficiency in survey methodology, statistical analysis, and data visualization techniques, with expertise in software tools such as SPSS, SAS, R, or STATA. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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Four Peaks Environmental Science & Data Solutions, LLC (Four Peaks) is a growing environmental science and engineering firm serving public and private entities nationwide. Master's degree or higher in environmental engineering, environmental science, or related field with strong academic background in aquatic chemistry, limnology, environmental fluid mechanics, or water quality modeling.
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Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics. This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Bachelor's degree in Plastics/Polymer Processing, Materials Science and Engineering, Chemical Engineering, Mechanical Engineering with 1 to 3 years of experience in the field of processing.
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Statistical Analysis and Interpretation: Lead the analysis and interpretation of survey data using advanced statistical techniques and software tools. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
$160,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Perform data analysis using R, statistics and data analysis, predictive analytics using SAS, and big data analytics and computer programming. Performing data analysis using R, statistics and data analysis, predictive analytics using SAS and computer programming; 3.
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Configure and manage resources in the local and AWS cloud environments and deploy QRM’s software on these resources. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM’s technical capabilities for model development, backtesting and monitoring.
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The Department of Mathematical Sciences offers undergraduate degrees in Actuarial Science, Data Science, Mathematical Sciences, and Mathematics & Computer Science, and offers graduate degrees in Pure Mathematics, Mathematics Education, Mathematics for Teaching, Applied Mathematics, and Applied Statistics.
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Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. 6+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Establish clear communication channels and ensure understanding between engineering teams, architecture, data science, and product. You will: Team leadership: Lead software and data engineers, ensuring a collaborative and engaging environment to foster engineering excellence.
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Researching and interpreting published research, technology data, and engineering studies on decarbonization technologies like carbon capture, hydrogen, battery storage, etc. We apply expertise in solid and fluid dynamics, materials science, acoustics, risk assessments, and computational simulation methods to solve complex problems.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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data science computer software engineering big jobs Company: Apple in Chicago, IL
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