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Bachelor's degree in Applied Mathematics/Statistics Computer Science Public Health Health/Human Services Administration Business Administration or a related field required. Proficiency in developing reports or dashboards in Power BI Tableau Qlik or similar data visualization software required.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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VP Data Science – GenAI. Deep expertise in Python, data-centric AI (ML) techniques, particularly as applied to text, tables, documents. You have a PhD or Master's in AI/ML, Computer Science or Finance (with a background in Machine learning), with 5+ years plus of industrial experience.
$262,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in productionizing Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Operations Data Engineer II you will develop platform tooling, deploy data science models to production and monitor production performance. You will support Machine Learning projects end-to-end and develop platform tooling for the Data Science team.
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Bachelor's or higher degree in Computer Science, Statistics, Mathematics, Data Science, and/or related quantitative degree is preferred from an accredited institution. Minimum 3 years of hands-on experience implementing AI/ML solutions and platform tooling for Data Science.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Lead development of mixed signal circuits (microcontroller/FPGA/power conversion/analog) for embedded controllers to serve mission critical industrial and life science applications. Expertise in circuit simulation, schematic capture, BOM creation, and PCB layouts using OrCAD (with EDM) or similar CAD software with integrated design data management capabilities.
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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) designing resilient data infrastructure for 401k recordkeeping platform and delivering ETL solutions using Oracle and Azure technologies in a financial services environment.
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Integration of Governance Tool with Snowflake, Informatica MDM, Azure Data Services such as Azure Data Lake, Azure SQL Server, Azure Data Factory, etc. Installation, configuration and setting up of Data Governance tools such as Collibra, Informatica Axon, or Alation.
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Degree in Arboriculture, Forestry, Horticulture, Turfgrass, Environmental Science, Plant Science, Outdoor Recreation, Agriculture or a related field OR prior experience working in landscaping or horticulture is preferred but not required.
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Bachelor's of Science degree in environmental science, geology, engineering, or a related field and 5 years of environmental related experience; or Professional Engineer or Professional Geologist with 3 years relevant experience; or 10 years of environmental related experienced and professional registration as listed below.
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She/he will be responsible for establishing an enterprise data strategy, enable enterprise scale data science and AI. The VP will also contribute to Humana's digital journey by cultivating a data rich environment, fortified by best practices in data management.
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A Bachelor’s Degree/MBA focused in Statistics, Research, Psychology, Cognitive Science, Anthropology, Human Factors, HCI/CS, Marketing, General Management, Architecture, Sustainability or Engineering is a plus.
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data science jobs Title: san in Cranston, RI
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