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Typical summer projects may involve one or more of the following: numerical simulations; programming for data acquisition and data analysis applications; design and assembly of laboratory hardware, including mechanical, electronic, and cryogenic components; and participation in quantum measurements.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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As a Data Science Intern on the Data Platform National Team, you will under close supervision, develop quantitative models and statistical analyses for insurance risk modeling. Data Science Intern.
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Master s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience. Experience with real world healthcare data such as MarketScan, Optum, EMR, EHR, DRG, PharMetrics, and/or Medicare databases.
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Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
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Perform sophisticated card fraud analyses and strategy support using advanced analytics & data science tools to provide actionable insights and real-time changes to card fraud detection tools that improve business outcomes and minimize fraud risk.
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Degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field. Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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Educational Level: A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and Five (5) years of progressive, responsible experience in the field of data processing, computer systems, and applications.
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Key word search: Python, Master's degree, predictive maintenance, preventative maintenance, relocation package, data science. Work with plant engineers located globally to solve business challenges related to forecasting the breakdown of the machines using sensor data analysis techniques such as Vibration Analysis, Motor Circuit Analysis, Oil Analysis, and Infrared Thermography.
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6+ years’ experience managing and delivering complex and technical projects, preferably in the data science space2+ years’ experience crafting the strategic direction of technical programs within domain specific industriesPrevious experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc.
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Function as the MSA and Fintech conduit with VCA North America (Segment Leaders, Practices, Solutions, and Data Science) and teams outside of VCA (Account Executives, Product Teams) to drive integration across the solution lifecycle (planning, requirements, design, testing, commercialization, and rollout.
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data science jobs in Atlanta, WI, United Kingdom
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