Corning Incorporated seeks Data Analytics Engineer to work in Painted Post, NY. Work w/ project teams to solve manufacturing/business problems using machine learning; lead measurement development to deliver low cost inspection systems; construct graphical representations of data & data summaries to provide insight to stakeholders; use image analytics & text analytics to construct predictive models of process outcomes; create model interpretability & engineering tools using techniques including saliency mapping & interactive model profilers; work w/ software developers to implement machine learning models in production environments. Up to 10% domestic & international travel. Req: Master’s in Computer Science, Statistics, Analytics, Data Science, or related field w/ concentration or coursework in data science or machine learning. Req: 1 yr. exp. using machine learning & data science to deliver manufacturing solutions for new process development & quality systems. 1 yr. exp w/: model interpretability (i.e. saliency mapping, model profiling); using long & wide data analysis methods to manage & manipulate large data sets; applying machine learning regularization techniques & cross-validation strategies to classify regression issues, incl. gradient boosting & neural networks; using classical programmatic image feature engineering for image recognition, incl. convolutional neural networks, transfer learning, sub-image semantic labeling, & deep clustering; developing & implementing machine learning solutions using Python; & using IATF 16949 to develop automotive quality management systems. Send resume referencing “2245” to Hannah Patton at careers@corning.com or One Riverfront Plaza, Corning, NY 14831. 

Rate of Pay: $110,747 to $121,821/year