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Review data and assist in advising stakeholders and others on best practices and how to implement the necessary changes to address third-party risks. Assist with process improvement and discussions related to third-party risk management solutions.
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Proven track record as a Data Scientist, delivering data-driven solutions to complex business challenges. Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$124,200 - $207,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Statistician, data analyst, data scientist). We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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The Department of General Services, Division of Consolidated Laboratory Services (DCLS) seeks a qualified candidate to serve as a Principal Scientist in the Immunology/Virology (IV) laboratory.
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Develop reports using modern data visualization tools and best practices to surface valuable insights to end-users. Implement data governance best practices by capturing data definitions, identifying data stewards, and data transformations through source-to-target mappings.
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Basic knowledge of data analysis methods, software packages (e.g. Matlab), design of Experiments, and computational modelling approaches is beneficial. Collaborate with Process Engineers, Product Developers, and Modelling and Simulation Scientists to translate laboratory data into actionable insights.
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This position supports data quality and data stewardship functions to maintain data accuracy and identify new metrics. Sentara Health Plan is hiring for a HEALTHCARE DATA ANALYST.
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Collect data; compile and analyze new and existing data; interpret data and form results and conclusions. A good foundation and experience with traditional physical property analysis techniques, as well as modern instrumental equipment (e.g., digital microscopy, particle size analysis, electron microscopy, shear cell testing, compaction simulation, powder rheology, etc.
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Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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The Virginia Department of Transportation (VDOT)Information Technology Division (ITD) is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of Enterprise Data Asset team.
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The Role: Lead Data Scientist– NLP, LLM and GenAI. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
$100,200 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks. The Virginia Department of Transportation (VDOT) Information Technology Division is seeking a senior Data modeler to develop Data models for Data Assets and implementation of a cloud-based data management platform that will support the agency.
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The Environmental Scientist is responsible for leading all field operations and technical staff in the execution of field work and the completion of reporting to include the delivery of technically sound products that meet internal and external client expectations, on time and on/under budget.
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Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word.
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Mid-Level Wetland Scientist. Experience with Trimble GPS units, ArcGIS, and/or other ESRI data collection software. 25% Mitigation monitoring, focusing on collecting detailed tabular and geospatial data on restored vegetation communities as well as occasional in-stream monitoring work and groundwater well data collection in our restored wetlands.
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Title: data scientist Company: Cynet Systems in Richmond, VA
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