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7+ years of professional experience in data science, with strong foundation in machine learning, and data visualization. Experience in data science, Agent architecture (Crew AI, Semantic Kernel, Autogen, Prompt Flow), Large Language Models(Commercial and OpenSource), LangChain, Retrieval Augmented Generation, Vector Databases and Machine Learning models.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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Experience with SAS/SAS EG/Python/SQL server in data analytics and manipulationExperience with BI tools, including Tableau, Power BI, Quicksight, etcExperience with SQL Server, Redshift or other database programmingVendor management experienceAbility to perform testing functions.
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Guide through your hands on experience leading large-scale global data lake/warehousing and analytics projects. Manage and Monitor the data quality of the content in the data architecture and platforms.
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Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. Pearson VUE provides a full suite of services from test development to data management and delivers exams through the world’s most comprehensive and secure network of test centers in more than 180 countries, where we validate the skills and knowledge of millions of individuals every year.
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As a Data Modeler for GES Data Management (GDM) in the GES Technology Group, you will be instrumental in shaping the data landscape for this project. 10+ years of proven experience as a Data Modeler or Data Architect.
$223,990 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The RN - Quality Improvement Specialist will be responsible for gathering and evaluating clinical data from the organization, analyzing data for patterns and trends in the delivery of healthcare; researching root causes for specific patient care trends; training and educating staff to promote good quality practices and ensuring compliance with all applicable laws and regulations.
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You will work on a wide range of initiatives, whether that’s building ETL pipeline for grounding the GenAI model with domain data, or working with the DevSecOps team to build the CICD/IAC pipeline, or designing a Generative AI foundational Infrastructure that conforms to our strict security standards/guardrails or working with the data science team in their pursuit of improving the accuracy of the LLM models.
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Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. Recognized industry expertise in 2-3 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.
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Design, develop, and implement Master Data Management (MDM) solutions using Informatica MDM software primarily cloud migration. As Master Data Management (MDM) Informatica Expert you will be responsible for designing, implementing, and maintaining MDM solutions using Informatica MDM software.
$1,500,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Incorporate core data management competencies including data governance, data security and data quality. Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise.
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Assists with asset technical knowledge and SAP Master Data which includes Procedures, Specifications, BOMs, Drawings, etc. Analyze data and drive work streams to eliminate maintenance related losses.
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Promote social emotional learning and student success through extracurricular activities. Grace Academy’s academically challenging and highly structured environment helps students grow in a love for learning and an abiding sense of responsibility to their community.
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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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machine learning data science jobs Title: principal in Hartford, Vienna, West Virginia
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