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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 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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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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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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Master's degree in a technical field (e.g. computer science, math, engineering Understanding of big data and real time streaming analytics processing architecture and ecosystems Experience with data analysis and data visualization tools Software development experience in relevant programming languages (i.e. Java, Python, Scala, Node.js) Relevant technology or platform certification (AWS, Microsoft, etc.
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Design and deploy data solutions using cloud-native services, such as Azure SQL Database, to support advanced analytics, machine learning, and data visualization initiatives.
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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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Google Professional Data Engineer / Cloud Developer certifications are a plus. We create and manage analytics infrastructure and cloud-based systems, with technologies such as Python, SQL, Docker/Linux, and serverless capabilities and infrastructure (Snowflake, PostgreSQL, RedShift, Lambda, etc.
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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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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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big data science machine learning cloud jobs in Elkins Park, PA
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