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The North America PRS (Personal Risk Services) Data Science team at Chubb is seeking a data scientist with 4+ years of industry experience to join our fast-paced, high-energy team.
$101,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Write spark jobs efficiently with algorithms used for big data processing. Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
$163,238 - $178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Physics, Computational Biology or equivalent experience. You have a strong background in data science, machine learning, graph mining, and graphical modeling algorithms.
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Master of Science degree in Computer Science, Engineering (Any Branch), Information Technology, Computer Applications/Applied Computer Science or Computer/Management Information Systems plus two (2) years of experience as Software Developer, Software Engineer, Computer Programmer, Systems Analyst, or related position.
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Big Data implementation – using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
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Bachelor’s degree in computer science, Information Technology, Data Science, or a related field. Job Summary: We are seeking a highly skilled and experienced Power BI Developer with a strong background in Qlik. The ideal candidate will have a minimum of 12 years of overall experience in business intelligence and data analytics, with a proven track record of leveraging Power BI and Qlik to deliver actionable insights and drive business decisions.
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Advanced data analytics designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Business intelligence – combining knowledge of SSIS/SSAS/SSRS/Power BI technologies with a deep understanding of data structures/data models to design, develop, and tune BI solutions and reports.
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We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.
$150,000 - $190,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes.
$205,400 - $342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big data tools like Spark, Kafka, Snowflake, Databricks, etc. Data visualization tool like Looker, Tableau, etc. Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Experience with big data analytics and reporting tool: SAS, SQL, Tableau, MS Access. Assist Actuarial with data analytics as needed. Experience with big data analytics and reporting tool: SAS, SQL, Tableau, MS Access.
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data science big jobs Title: scientist Company: Jobs Via Efinancialcareers in Jersey City, NJ
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