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tools and techniques in analytics (R, python, Tableau, Spark, SQL, etc.). • Knowledge about how to manage, analyze, communicate, visualize, and lead with artificial intelligence is a plus. • Experience
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platform and coordinating the integration and testing of commercial cellular equipment. The candidate must have fluency in multiple programming languages such as bash scripting, C++ and Python and comfort
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: Familiarity and experience utilizing data warehouse, data analytics, and reporting tools a plus (e.g., Cognos, SQL, R, Python, Tableau, Power BI) KEY RESPONSIILITIES & ACCOUNTABILITIES Strategic Supplier
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business programs (e.g., Outlook, Excel, Word, Power Point) Demonstrated experience utilizing data warehouse, data analytics, and reporting tools (e.g., Cognos, SQL, R, Python, Tableau, Power BI) Experience
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, REST/SOAP APIs SQL and database management Scripting languages (Python, PowerShell, or similar) Version control systems (Git) Integration monitoring and troubleshooting tools Key Accountabilities
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personal style willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming
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skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. Data Pipeline Engineering: Extensive experience with end-to-end data pipelines
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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such as PowerShell and Python. Self-motivated and detail-oriented, thrives working independently while managing multiple priorities in a fast-paced environment. Strong written and verbal communication
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overtime, and believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities