The Person: You will be a part of a team driving to improve client's product quality. You will be applying your Data Science and Automation experience to tackle challenging volume validation, manufacturing, and issue debug problems. Key responsibilities: • Implement automation and data strategy with validation technical leads and data architects to reduce time to market and time to quality • Develop Python automation scripts for performance metrics data collection and characterization • Deliver robust data analytics solutions for visualization, results reporting, and building predictive statistical models • Develop database solutions to support storage and analysis of test results from validation and manufacturing Required: • 4 to 5 years’ experience in developing test automation solutions as an Automation Engineer • Experience in developing high-availability, low-latency enterprise solutions as a Data Science/Engineering subject matter expert • Knowledge of data modelling and data warehouse/lake best practices (SQL, Snowflake) • Experience with data analytics, visualizations, and report generation (PowerBI, JMP) • Experience building statistical predictive models factoring multiple sources of variation in chip and system manufacturing • Experience writing performant code in Python, Java, Scala and good experience with Spark • Enforcing and applying best practices for modular code development including 3rd party tool integration • Experience with SerDes PHY or High Speed I/O Validation at PCIe • Linux power user Education Requirement: • Bachelors or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science