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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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Experience in Data science, machine learning, or optimization models. 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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Required Skills : ETL Testing focused on Big Data, python automation, and working on Google Cloud Platform (GCP) Experience with gcp platform development tools Pub/sub, cloud storage, big table, big query, data flow, data proc, and composer desired.
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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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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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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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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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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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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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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. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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We are hiring an Cloud Solutions Architect in our Alliances team to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
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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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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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Business Data Analytics, Computer Science, Data Science, Deep Learning, Machine Learning, Machine Learning Algorithms, Predictive Analytics, Predictive Modeling, Python (Programming Language), PyTorch.
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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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