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CrowdStrike’s Data Science team is expanding. we are at the exciting intersection of Machine Learning, Artificial Intelligence, and Security and are looking to add a Data Science Manager specializing in machine learning to our growing team.
RemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Initiate and lead the execution of data science research and product development often with cross-functional, multidisciplinary teams. We are looking to hire a staff machine learning engineer to join our RVO Health data science team.
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Basic Qualifications: Minimum Degree Required: Bachelor DegreeMinimum Years of Experience: 3 year(s) Preferred Qualifications: Preferred Fields of Study: Computer and Information Science, Management Information Systems, Information TechnologyCertification(s) Preferred: Google Cloud Professional Certification(s), such as Cloud Architect, Data Engineer, ML Engineer, DevOps Engineer, etc.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Degree in Environmental Science, Environmental Engineering, Packaging Engineer, or other Sustainability-related degree, Product Design, Product Management, Materials Science, or similar field, or 5-7 years experience in similar role in lieu of said degrees.
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Familiarity with Information Governance technology ecosystem and how it supports Information Governance processes including: enterprise content / document management systems, records management systems, archival systems, legal hold management systems, mobile device management systems, communication surveillance applications, privacy compliance management systems, data discovery and scanning, etc.
$116,200 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Coordinating with the Senior Audit Director and overall team to identify use cases and develop plans for data analytics, data science and continuous auditing by examining the audit plan and collaborating with assigned audit team(s) and CAS Data Analytics.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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ORA Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Leveraging more than 30 years of experience in life science informatics, we are uniquely positioned to deliver a portfolio of innovative BioPharma knowledge management technologies to streamline the capture, analysis, reporting and sharing of data required to accelerate the next generation of life-changing therapies.
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Knowledge of cloud services and their application in data science. The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Pursuing a Bachelor’s or Master’s Degree in Management Information Systems, Business Analytics, Computer Science, Software Engineering, Information Technology, Data Science/ Analytics, Statistics User Experience Design, or a similar field of study from an accredited college or university.
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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage. Data Pipeline Construction - Develop and maintain end-to-end data pipelines for streamlined data processing and analysis.
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data science jobs Title: research associate Company: Gilead Sciences in Charlotte, NC
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