Senior Associate at PwC focusing on data analytics to drive insights and guide client strategies. Involves advanced techniques and collaboration on AI and GenAI solutions.
About the role
- Mid-Level Engineering Data Scientist for Boeing's Global Services Analytics team. Creating analytics models and collaborating on health management solutions for KC-46 platform.
Responsibilities
- Investigate and apply advanced statistical techniques and predictive modeling to develop predictive maintenance strategies and optimize aircraft performance.
- Collaborate with customers teams to identify and define analytics requirements.
- Implement necessary data preparation steps and deploy machine learning models into production systems.
- Collaborate with other engineering disciplines to solve fleet issues.
- Partner with commercial Airplane Health Management (AHM) analytics teams to adapt tools for military uses.
- Support in-service data investigations, queries, and data requests.
- Ensure data security and compliance with relevant regulations throughout the data analysis lifecycle.
- Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.
- Provide input into internal research projects and strategy.
Requirements
- Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
- 5+ years of professional experience in data science
- 2+ years of experience in Python for data science applications
- Advanced degree (Master's or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background (preferred)
- 2+ years of experience in SQL (preferred)
- Experience with KC-46 or 767 systems and architecture (preferred)
- Experience working in Linux operating system (preferred)
Benefits
- Health insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life and disability insurance programs
- Paid time off
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