Responsibilities

• Build, develop, and program methods, processes, and systems that consolidate and analyze unstructured, diverse data sources to improve client services and products.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Model Development & Feature Engineering: develop predictive models using machine learning techniques (regression, classification, and clustering) to optimize manufacturing processes and improve product quality.
• Visualization: create clear and informative visualizations to communicate findings and insights to stakeholders.
• Collaborate with functional domain guides across product engineering teams to understand domain problems and determine appropriate solutions.
• Continuous Improvement: stay up to date with industry trends, research advancements, and emerging technologies in data science and s...