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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes For Commercial Lines this team is responsible for all modeling that pertains to pricing, class plans, and profitability.
$170,040 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Predictive Analytics/Data Mining: (e.g., Python, SAS Enterprise Miner) Data Visualization Tools (e.g. QlikView, Tableau, Power Bi) This include applying data science and technology skillsets when working with large-scale financial institutions, financial technology ("fintech") organizations, and other money service businesses.
$252,450 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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An advanced degree in a field of study with coursework in research methodology and statistics such as public administration, statistics, political science, or sociology; AND three (3) years of experience in demography, statistical analysis, and electoral systems using programming software for data visualization.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Intermediate to Advanced skills in data analysis and data governance tools (e.g., SQL, SAS, TOAD, Python, Hadoop, Teradata, Databricks, Snowflake, Tableau, Collibra, Infosphere, Alation, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop Master Data Management (MDM) solutions: Implement solutions across various master data domains within MassMutual, ensuring data consistency and reliability. You will design, build, and measure complex Informatica Power Center and MDM processes to master data for different Master Data domains in MassMutual.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Hands on experience in Qlik Sense / QlikVIew development, dash boarding and data modeling and reporting (ad hoc report generation) techniques. Experienced in data integration through extracting, transforming and loading (ETL) data from various sources.
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. Collaborates with other peer organizations (e.g., Business Analyst, Data Modeler, QA, SRE, technical support, etc.
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Experience in GCP Cloud services such as Big Query, Composer, Airflow, DataProc. Experience building ETL data pipelines in Ab-Initio or equivalent technology. Collaborates with data science team to transform data and integrate algorithms and models into automated processes.
$131,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using advanced analytics tools to combine large datasets and analyze them in big data environments, such as ADL, AWS, Snowflake, etc. Experience with setting up and maintaining your own IT and data systems, including Kubernetes, ZFS, Docker, engineering software license management, etc.
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6+ years ETL/ELT experience working with IICS, Informatica, StreamSets, Astronomer, DBT, Python, Data bricks, Snowflake and ADF or equivalent technologies. 3+ years hands on experience working in an Azure environment Experience with Data warehouse/ data lake/ data hub modeling.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We create best-in-class data solutions from internal and external sources by leveraging a diverse set of cloud technologies like Snowflake, the Azure tech stack, Databricks and Python. Manage code development and deployment using Azure Data Factory, VS Code, Databricks, Function Apps, and GitHub.
$95,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.
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Experience and passion for Data Science - machine learning, deep learning, and NLP (LLM) Design, code, test and implement quantitative models, leveraging data science techniques, in machine/deep learning and NLP.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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GEN AI Data Platform Engineer ( GEN AI data ingestion pipeline engineer) PLEASE NOTE: Do NOT SUBMIT "Data Scientists" this is not the focus of this job. for building GEN AI data ingestion pipelines.
Full-timeExpandApply NowActive JobUpdated 11 days ago
big data jobs Title: hadoop consultant in Hartford, CT
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