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Intel Quality Reliability Data Scientist United States, Oregon, Hillsboro 233955216
Who You Are
Your responsibilities include but not limited to:
Develops algorithms and applications, performs large scale experimentation, builds data driven apps to translate data into intelligence, and develops solutions for solving business problems using coding.
Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
Organizes, interprets and structures insights from data, detects data anomalies and makes corrections.
Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decision making.
Supports troubleshooting service offerings using proprietary analytical platforms, commercial tools and custom scripts.
Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required.
Develops and programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science including modeling, coding, analytics, and experimentation.
Explores, compiles, and collects data from new or known sources, sometimes in partnership with technical staff/engineers to derive useful insights and/or make predictions.
Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution across clients.
You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
PhD in Electrical Engineering, Engineering Science, Mechanics, Computer Engineering, Computer Science, Physics.
Preferred Qualifications
Experience in Machine learning algorithms development, Artificial Intelligence applications development, Si data analysis
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