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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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U.S. PERSON REQUIREMENTSDue to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorizationYou Must Have 5-10 years of experience applying data science and advanced analytic methods in aerospace or related industries.
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Lead highly complex data science and advanced analytics projects in support supply chain, finance, customer experience, and defense & space domains within aerospace manufacturing. Broad experience and working knowledge of advanced analytic methods and applications in data science (classic and GenAI), optimization, and statistics.
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It also features pre-professional degrees in biology, alongside our degrees in microbiology, physics, and a forensic science and exercise science program. Preferred: MS/doctorate in a Biological Science with emphasis in microbiology.
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Food science and food product development, specifically with non frozen dairy/ice cream. Develop and implement staffing and training strategies for technical competence, creativity, teamwork, and broad business knowledge within PD. Critical Competencies: Project Management Business acumen, cross-functional understanding, and relationship-building Quality Champion Science & Technology Consumer Driven Design Continuous Improvement mindset Experience in ice cream or non frozen dairy dessert is required.
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Research experience in electrophysiology data science (machine learning dynamical systems network theory behavioral task design medical image processing and/or audiovisual stimuli/virtual environment design.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence. Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
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Bachelors degree in engineering or science background (occupational Safety, chemical engineering or chemistry, mechanical engineering, environmental science and emergency response/management) null.
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Data science experience wrangling data, model selection, model training, modeling validation, e.g., Operational Readiness Evaluator and Model Development and Assessment Framework, and deployment at scale.
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Any experience with Azure Data Lake, Azure Data Factory, Azure Synapse / Azure SQL / Azure SQL Managed Instance, Azure Analysis Services, DAX, Databricks, Azure Automation, Azure Key Vault, Azure Logic Apps, Azure AutoML PowerShell, Power BI.
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Bachelor's degree in biology, chemistry, forensic science, or a closely related field (must include a minimum of 24 credit hours in Science, Technology, Engineering or Mathematics (STEM) related coursework) from an accredited college or university.
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Proven experience as a Safety Manager or similar role in data center construction projects. We are seeking a qualified and experienced Safety Manager to join our team and play a crucial role in maintaining a safe and secure working environment on our data center construction sites.
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2+ year of experience in advanced node semiconductor industry in in yield analysis and data science. Bachelor's degree in one of the following disciplines: Electrical/Electronic Engineering, Physics, Chemistry, Materials Science, or in a (STEM) related major.
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Materials Science/Metallurgy, Physics, Chemistry, Nuclear, Electrical, Mechanical, Civil, Electronics, Computer Science, Environmental, Chemical, Architectural, Structural. A four-year Bachelors degree in engineering or related applied science discipline (see approved list) from an ABET accredited institution, an International Engineering Alliance (IEA) recognized institution or an ABET Mutual Recognition Agreement (MRA) plus eight (8) years of experience in engineering positions.
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data science jobs Title: science director Company: Oracle in Glendale, AZ
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