Description: Provide support to the lead Data Scientist Analyst for project management and hands-on implementation of data science, analytics, governance, machine learning and artificial intelligence projects across the RMS Mission Systems Production Operations (MSPO) organization as a member of the Advanced Manufacturing Technology organization. Develop and mature data technology projects at multiple MSPO sites to drive efficiencies and savings in manufacturing support costs. Help coordinate a virtual team of citizen data scientists at multiple sites in the identification, design, and deployment of data-related factory optimization opportunities. Champion team goals, drive collaboration across sites/programs/work centers, and facilitate knowledge sharing among team members. Stay informed of a wide variety of data science and related technical principles, theories, concepts, and applications to facilitate advanced technology insertion.
Represent MSPO on cross-Business Area (BA) roadmap and technology development projects including shaping of projects to drive value for MSPO. Facilitate collaboration across BAs and with the RMS Intelligent Factory Framework (IFF), Chief Data Analytics Office (CDAO), Information Technology, and Advanced Quality teams to identify, mature, deploy and replicate innovative uses of manufacturing data to drive maximum efficiency and quality in the factories.
Position may be fully or mostly virtual, located near a major MSPO manufacturing site, with occasional travel (2-4 trips per year) for training or in-person collaboration meetings.
Basic Qualifications:
- Bachelor’s degree from an accredited college in engineering, computer science, or a related discipline, or equivalent experience/combined education
- Minimum one year of experience delivering technical solutions in the field of data science including data management and data governance or one year of software experience with software development and deployment of a modeling and simulation tool or analytics tool
Desired Skills: - Experience in software coding especially in Python and SQL
- Experience in configuration management with visual studio and git hub
- Experience with MTConnect and/or OPC UA
- Experience in Alteryx and Tableau
- Experience applying data science-based technologies in a manufacturing environment, especially involving machine learning and/or artificial intelligence with interfaces to Manufacturing Execution Systems or Enterprise Resource Planning systems
- Experience in project management, leading a team to deliver solutions within budget and schedule constraints
- Experience on defense programs managed with earned value from design phase through DD250
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