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These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Various disciplines are involved in Enterprise Data & Analytics, including data source identification and analysis, data engineering, data visualization, and data science/machine learning.
$65,000 - $87,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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There are also research and development opportunities with our departmental machine learning/artificial intelligence group, data science and Imaging Informatics. There are also research and development opportunities with our departmental machine learning/artificial intelligence group, data science and Imaging Informatics.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Google Professional Data Engineer / Cloud Developer certifications are a plus. Be very familiar with databases & data warehouses: Snowflake, Redshift, BigQuery, Postgres, MySQL, etc.
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REQUIREMENTS: Master’s degree (or foreign equivalent) in Computer Science, Data Science, Business Analytics, Statistics, Mathematics, or any related technical or quantitative field; and one (1) year of experience programming using Python and Scala; using Jira; performing large-scale data processing using Apache Spark; managing big data on Cloudera; performing Machine Learning; using AWS cloud platform; deploying tools and applications on Unix; and writing SQL in Hive and NoSQL databases.
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Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.
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Bachelor's degree in Biology, Environmental Science, Botany, Soil Science or a related accredited program is required. Experience in completing field investigations, wetland assessments, associated permitting, analyzing GIS data; preparing environmental assessments and permitting documents, technical writing.
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Our technologists are involved in work that includes cloud native development, digital architecture and integration, automation, cloud data platforms, artificial intelligence, and machine learning as well as maximizing platforms such as Salesforce, AWS and Microsoft.
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. At least 2 years of experience in big data technologies.
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Stays on top of Duck Creek Technology platform and other approved underwriting platforms as well as industry trends including Digital Transformation, InsureTech, AI/Machine Learning etc Location:Core teams are primarily located in Whitehouse Station, NJ which is the preferred site of employment, however other office locations and remote employment options are also acceptable.
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General Experience with PeopleSoft HCM Employee and Manager Self Service, Portal, Data Warehouse, MicroFocus COBOL, PeopleSoft Test Framework (PTF), and/or Enterprise Learning Management (Preferred.
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SDP classroom curricula in science, technology, engineering, arts, and mathematics (known as STEAM) are reinforced through project-based learning and the contracting of expert consultants.
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