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Master’s degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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We employ cutting-edge remote data sensing and geospatial technologies, human intelligence, AI and ML informatics, and predictive analytics to offer Environmental Monitoring, Risk Management, Decision Support, Domain Awareness, and Natural Capital Monetization applications.
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Implementing data science and statistical tactics such as regression, time series modeling, and other predictive modeling to forecast key business metrics and build alerting to spot areas of risk early.
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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. Experience working with cross functional teams (Data Science teams a plus.
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Work with strategic analytics, data science, and data engineering personnel to evaluate and implement emerging solutions such as machine learning, artificial intelligence, and predictive analytics.
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Inspire, collaborate, and build credibility as a domain expert in Big Data specifically data science, data governance, and master data management. g, heuristic and predictive analytics), Big Data (e.g., data lakes, containers), MDM, MDG, and data operations.
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Knowledge, Skills, and Abilities (KSAs): Internal or External Publication; Data Quality; Model Creation and Interpretation; Procedure Manuals and Documentation; Health Care Coding; Process Mapping; Program Writing; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management.
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The Data Scientist will develop advanced analytics in support of an Intelligence Community client, by providing data science and machine learning solutions to include programmatically accelerating data access, automating methodologies, and developing models that enhance predictive accuracy that counter national security threats.
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Formal maintenance planning/scheduling trainingMinimum 1-2 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.
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Five to 10 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.
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This role will report to the Senior Director, Business Insights and Analytics, and will be responsible for advancing data science and advanced analytics capabilities by leveraging best practices in data science, data mining, and advanced statistical modeling to drive a culture of data-driven decision-making.
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Your primary focus will be in applying machine learning and data mining techniques, performing statistical analysis, and building high quality analytic systems - deep learning, anomaly detection, natural language processing, recommendation systems, predictive analytics and information retrieval.
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Systems Engineering, Software Development, Database Design and Engineering, Data Analytics, Semantic Web, Ontology Development, Research and Development, Big Data Processing, Predictive Analytics, and Cloud Infrastructure Expertise.
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Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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The contractor shall serve as SCO technical and sustainment manager /executor for the AMC Predictive Analytics Suite (APAS) and Vantage data platform. The contractor shall analyze data requirements and map and manage evolving requirements to capabilities in APAS, Vantage, Advance Analytics (ADVANA), and Strategic Support Area Business Reporting Environment (SABRE.
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data science predictive analytics project management jobs Title: senior
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