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Strong foundation in mathematical and statistical analysis, including use of statistical analysis software (e.g. JMP, R, Python). Interest in and basic knowledge of semiconductor architecture, fabrication processes, and device physics is a plus.
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Work on challenging data science projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and other AI technologies to drive revenue and enhance the personalized shopping experiences of our 50M members.
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You will build and lead a team of SDS data scientists, who employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency.
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13 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 10 years of experience with a Master's degree.
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Experience with quantitative research (metrics, survey design, response effects, sampling, crosstabs, and statistical concepts, etc.) Experience with quantitative research (metrics, survey design, response effects, sampling, crosstabs, and statistical concepts, etc.
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The Statistical Data Analyst (Data Analyst III) provides key statistical, data research, analytics and reporting functions for the Fraud Analytics and Data Operations (FADO) Division of the Office of Inspector General (OIG) to support program investigations, audits, and inspections related to suspected fraud, waste and abuse.
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Thermal and Mechanical Modelling - Working knowledge of statistical analysis, structural analysis, Finite Element Analysis, and tolerance analysis. Server Infrastructure design and Semiconductor device physics knowledge is a plus.
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Knowledge of statistical analysis tools (JMP, Minitab or otherwise). Advanced Understanding of semiconductor wafer processing, device physics and product engineering. Familiar with foundry style semiconductor manufacturing and logic semiconductor manufacturing.
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The GPS AI & Data Engineering (AI&DE) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD in Computer Science, Operations Research, Statistics or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
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PhD in Computer Science, Operations Research, Statistics, or highly quantitative field with strength in Deep Learning, Machine Learning, Data Analytics, Statistical or other mathematical analysis.
$126,000 - $163,800 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The position provides consultation and assistance to MCDA, DAP, and Medicaid/CHIP staff in developing methods and strategies for more effective reporting of Medicaid related data and analyses, including developing and monitoring performance measures and applying statistical sampling methods.
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We are looking for an R Developer who will play a pivotal role in utilizing the power of R programming for data analysis, statistical modeling, and visualization. Develop and implement data analysis workflows, statistical models, and algorithms using R programming language.
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We are seeking a Process Integration Engineer which expertise in mass production, capable of comprehensively understanding CMOS integration processes and device physics. This position needs to optimize manufacturing processes, to support product development, to ensure quality control, to facilitate technology transfer, to drive continuous improvement, and to collaborate across teams to produce high-quality semiconductor products.
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Knowledge of with SAS statistical programming languages such as R, Python or other scripting language and BI tools such as Tableau or MS Power BI. Knowledge of with SAS statistical programming languages such as R, Python or other scripting language and BI tools such as Tableau or MS Power BI.
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statistical job Company: Dnv Gl Usa in Austin, TX
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