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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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Principal Data Scientist: Biostatistics will report to the VP, Data Science and will focus on providing strategic input and technical expertise on statistical methodology to support the research and development organization for assigned projects They will participate as active members of a cross-functional team to plan, lead and execute the tasks required to support the clinical development for the assigned programs.
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Advanced degree in Data Science, Statistics, Computer Science, Healthcare Informatics, or a related field. Reporting to the Company’s Chief Operating Officer, the Director, Analytics will spearhead the strategic direction of our data, analytics, and healthcare economics initiatives, leveraging data to optimize patient outcomes in a value-based care environment and drive business growth.
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Our consumer innovations are commercialized under Seed with a mission to bring much-needed precision, efficacy, education and perspective-shifting science communication to the global category of probiotics.
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The thermal engineer troubleshoots thermal and/or airflow issues in new and existing product lines using empirical data and commercial CFD software. The focus is on running server system thermal tests using data acquisition equipment, thermal stress test software, and external power control equipment.
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Experience in data collection from systems like ServiceNow, Splunk, or other data lakes, along with the ability to extract and normalize data for the establishment of routine feeds for IAM processes.
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Lab Informatics: At least 1 year of specialized experience, equivalent to GS-12 grade level in Federal service: analyzing laboratory software & public health policy initiatives, direction, & issues to make recommendations to improve the information systems; developing & coordinating epidemiological & other biological science & related field policies; developing/utilizing statistically valid protocols for evaluating data quality & establishing data quality systems.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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A bachelor's degree in Criminal Justice and/or Administration; Law and Society; Forensics; Public Safety and/or Administration; Homeland Security; Law Enforcement; Justice Administration; Organizational Security and Management; Criminology; Cyber Security; Social Work; Fire Science; Public Administration and/or Policy; Political Science with Superior Academic Achievement (SAA.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Graduated from an accredited school or college of mortuary science. Graduated from an accredited school or college of mortuary science. May perform a variety of attendant duties including but not limited to parking lot attendant, driver, usher, pallbearer, or courier.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. Enrolled in a STEM undergraduate or graduate program (mechanical engineering, aerospace engineering, materials science, electrical engineering, etc.
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Strong educational foundation in and experience related to Chemistry, Chemical engineering, Materials Science, or related fields. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.
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Full JD: AI/ Machine Learning Engineer (Data Science Platform) Job Title: Al/ Machine Learning Engineer (Data Science Platform) Evaluate, select, implement, and support an enterprise data science toolkit, ensure that systems are reliable, scalable, and maintainable.
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data science jobs Title: school science teacher in Montclair, NJ
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