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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Capable of applying the latest technologies and methodologies in data mining, machine learning, and predictive analytics to correlate disparate data sets and events, and derive value The Senior IT Systems Analyst shall provide technical and operational subject matter staff support to NSB OSU and various executive-level priority programs.
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We integrate off the shelf and new development efforts to sustain and enhance existing architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (Client) and cross-domain transfer systems to provide cutting edge requirements management, task coordination, data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
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Sustainability Science and Innovation (SSI) is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise.
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Our program advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles.
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Familiarity with the MLOps, machine learning lifecycle and product landscape, for example: Amazon SageMaker, Apache Airflow, Looker, Trifacta etc. Knowledge of multi-account architecture, leveraging tools such as AWS Control Tower, SCPs, GuardRails, and Transit GatewaysWide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, analytics, or machine learningShall possess AWS Solution Architect (Associate or Pro) certification.
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Support all GDIT Artificial Intelligence and Machine Learning and Data Management commitments through facilitation, development and maintenance of all applicable policies, procedures, and protocols in collaboration with GD, GDIT and other Business Units.
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Responsible for overseeing a team of data analysts and data scientists to provide analytical support through machine learning, statistical analysis, causal analysis, and modeling and simulation within the people analytics team.
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As a Principal Data Scientist, you will lead innovative data science projects and teams, using your expertise in machine learning, particularly Time Series, Natural Language Processing (NLP) and Large Language Models (LLMs), to develop scalable, ethical solutions that transform customer interactions with their finances.
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You will analyze marketing programs and results, use predictive analytics and machine learning to create value from data, and drive strategic analytics initiatives forward.
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machine learning analytics jobs in Mclean, VA
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