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In HBM DEG (High Bandwidth Memory, DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
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Performing quantitative and qualitative analysis and data quality assurance using statistical software and computer programs such as R and Python to extract information and build models machine learning and artificial intelligence.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Familiarity with multiple machine learning or statistical packages in Python, R, MATLAB, or another programming language. Advanced degree in Statistics, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Applies a variety of methods based on standards and metrics to review and improve data acquisition and data management processes such as statistical analysis, machine learning, data mining, predictive analytics, time series analysis, multivariate regression analysis, statistical process control and optimization solutions.
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In this hybrid (hardware/software) role, you will develop state-of-the-art data science methods to apply machine learning and statistical analysis to explore, examine, and visualize data collected from early silicon chips and systems developed for the world's premiere products.
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Experience with machine learning techniques (e.g., regression, decision trees, cluster analysis) using Python or other statistical programming packages such as R, SAS, Matlab. Experience with machine learning techniques and experimental design.
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Essential Duties and Responsibilities:The major responsibility of the student will be the performance of power grid modeling and simulation, statistical analysis and machine learning applications in power system control or cybersecurity, and the implementation in Python and Matlab.
$16 - $28.75 an hourFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, deep learning and predictive modeling. The Senior Data Scientist will build and oversee the building of predictive/prescriptive models using statistical and machine-learning methodologies.
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Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods.
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Demonstrated machine learning skills for data modeling and predictive analytics. Six years of experience working with statistical modeling, research methodology, database management, institutional research.
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Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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Specialized experience for this position must include experience applying design and implementation of data science and analytical methods such as exploratory data analysis, descriptive analytics, and predictive analytics using machine learning.
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Knowledge of data mining, statistical modeling, and machine learning methodologies. Lead Engineer- Data/Machine Learning. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
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