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As an Applied AI Modeling Lead, in our Business Modeling organization, you will work with colleagues across JPMorgan Chase to create high-impact quantitative finance models for stress testing (CCAR/DFAST), decision optimization, and strategic planning.
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Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience with thin film coating processes and technologies or 3 years of thin film technology experience with advanced degreeExperience with Thin-Film design software (e.g. Filmstar, Macleod, ThinFilmView)Experience with Physical Vapor Deposition (PVD) and/or Chemical Vapor Deposition (CVD) thin film techniques.
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SummaryThe Structured Products Trader is a key member of the National Life Capital Markets team responsible for trade idea generation, modeling, and execution across National Life’s structured products investment portfolio including CLOs, CMBS, RMBS, and ABS markets.
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Must have two (2) years of experience with: At least one data modeling tool (ER/Studio, Erwin); Experience with any data profiling and data quality tools like Apache Griffin/Deequ/Great Expectations; Familiarity with business intelligence tools (such as PowerBI); Running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
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Bachelor’s or Master’s degree in wildlife biology, rangeland ecology, environmental science, forestry, botany, soil science, or a closely related natural resource field. Join a team that has the environment down to a science.
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Bachelors Degree in Civil Engineering, Soil Science, Geology or related engineering field; preferred geotechnical engineering concentration. Prepare geotechnical engineering reports that detail the field investigation data and design recommendations that will be reviewed by project managers and supervisors.
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Familiar with Data Science concepts and applying them to analyze large volumes of data Comfortable with data concepts; Oracle, Java, Python, Spark, Kafka, HDFS, AirFlow, Elastic Search.
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Graduated from an accredited school or college of mortuary science. Graduated from an accredited school or college of mortuary science. May perform a variety of attendant duties including but not limited to parking lot attendant, driver, usher, pallbearer, or courier.
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Must have research and development experience on predictive modeling, data mining and management, and other advanced analytics in the development of business intelligence and technology transfer.
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Added Bonus If You HaveBachelor’s degree in Information Systems, Computer Science, related discipline or equivalent work experienceExperience using Jira & ConfluenceExperience working with Adobe Analytics, Google Analytics or other web analytics data.
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Required Skills & Experience 6+ YOE Azure PaaS/SaaS solutions ADF NoSQL, SQL, Azure SQL DB, PostgreSQL, CosmosDB (6+ YOE) Synapse Analytics ADLS Industry standard ETL development techniques End-to-end data pipelines Data Analysis Data warehousing Data modeling Azure DevOps Fabric Data validation, cleansing, transformation, consolidation, etc.
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Serve as a consultant to embedded delivery, analytics and data science teams in the development of their data strategy and the ideation, design and implementation of data solutions including data assets and insights.
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Monitor ALL L2L Activities (CMMS Program) under Maintenance Manager supervision and develop and maintain an efficient maintenance schedule to ensure timely execution of preventive, predictive, and corrective maintenance activities.
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Our specialized experience includes design for data centers, healthcare, science and technology, high-rise buildings, clean energy, education, and other building types as well as structural and building sciences, infrastructure asset management, advanced robotics, and more.
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Technical skills: Proven expertise in advanced analytics techniques, including machine learning, predictive modeling, and statistical analysis. Utilize predictive modeling, machine learning, and statistical analysis to drive business predictions and performance improvements.
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science predictive modeling jobs Title: data in Plano, TX
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