Collaborate with the data science team to understand business problems and identify opportunities to leverage analytics and machine learning. Collect, clean, and preprocess data from enterprise SQL databases and historians. Develop and deploy analytical solutions using python and relevant libraries. Visualize and communicate findings to both technical and non-technical stakeholders using python and/or Power BI. Collaborate with manufacturing operations teams for integration of analytical and machine learning tools with operations for real-time optimization. Skill Development:Team collaboration, Analytical skills, Agility. Experience / Skills:Currently pursuing a Bachelors or Master's degree in Computer Science, Computer Engineering, Data Science, Statistics, Engineering, or a related field with a minimum 3.2 GPA. Programming skills in Python. Experience with SQL with data extraction and manipulation. Familiarity with visualization tools such as Power BI. Excellent problem-so...Engineer, Analytics, RN, Data Science, Operations, Manufacturing