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Degree in Computer Science or Information Technology related field, -AND/OR-Required Project Management Certifications, -AND/OR- Relevant Technical Writing Certifications/Demonstrated Field ExperienceEnterprise Toolset Experience: Sharepoint/Confluence/JIRA/RemedyMS Office 365 / Excel / Power Point / Visio / OneNoteExcellent Presentation Skills (data analysis, pivot tables, charts/graphs)Excellent Attention to Detail - ability to quickly analyze data and move to organizational formats.
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In-depth knowledge of data lake, data warehouse, data vault, data mesh, data marketplace and data science concepts. What we look for: We are seeking enthusiastic and initiative-taking leaders who have a clear vision and an unwavering commitment to remain at the forefront of data technology and science.
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Keeps abreast of state of the market capabilities: continuously monitor how to effectively apply technology to improve processes, communications and information EDUCATION/EXPERIENCE:·BS in Business Information Systems, Information Technology, Computer Science, or related field OR a combination of experience in access of 5-7 years data warehouse/business intelligence experience·Experience with: WhereScape RED and/or TimeXtender Data warehousing tools a major plus.
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The Data Engineering team collaborates closely with product, data science and machine learning teams to design, build, and scale high leverage datasets that enable analytics, and experimentation.
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PROJECT SCOPE: This contractor will be contributing to the Data Science team which is focused on High-Risk Regulatory Insights and Analytics with solving complex issues across the enterprise.
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Position Number: EPTF50 Department: Coll of Computing&Informatics (Col) Employment Type: Temporary - Part-time Months Per Year: 4 Essential Duties and Responsibilities: UNC Charlotte is accepting applications for adjunct or part-time faculty.
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Provide SME guidance for data science teams on software engineering principles, model deployments, platform capabilities. Collaborating with Data scientist to optimize the scoring pipeline.
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Knowledge of Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, hyperparameters optimization, NLP, computer vision, speech processing.
$208,956 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Python Strong in Data science and Machine Learning , must know time series algos, Anomalies detection and prediction algos like Radom forest isolation, LSTM etc. Strong understanding of frameworks like BERT, GPT or transformer models, Supervised and unsupervised ML techniques, frameworks like TensorFlow, PyTorch, etc.
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5 to 8 years of AI/ML development experience Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python). DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD. AI Architecture - data management, governance, model building and deployment Knowledge and implementation experience of AI/ML in AWS Cloud services Nice to have: API’s, Apigee, Developer Portals.
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Foundational knowledge of Data Science and Statistics principles. You will be part of a forward-thinking team that leverages Generative AI to extract critical insights from complex data and fortify our clients' digital domains.
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Demonstrates technical expertise on Artificial Intelligence, Data Science, and Machine Learning. Demonstrates technical expertise in AI, ML, and Data Science/Data Strategy.
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Offering a fully integrated platform of real estate services and innovative solutions to owners, investors, lenders and occupiers, Lincoln supports the entire real estate lifecycle across asset types, including office, life science, retail, industrial, data center, production studio, healthcare, government, universities, and mixed-used properties, throughout the United States, United Kingdom, and Europe.
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Focus: Analytically intensive math, statistics, engineering, science or other related fields requiring ability to frame abstract issues into problem statement, analyze and model data, and formulate insightful conclusions that support decision making.
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The focus of this position is to provide strategy, direction and Business solution for data and analytics in support of BI, Actuarial, Data Science, ERM etc. Engage EDS Architecture resources to support the Data Strategy and Roadmap development.
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data science jobs in Charlotte, Roanoke, Virginia
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