Role OverviewAs a Principal Data Scientist – Factory Intelligence, you will play a key role in transforming factory data into actionable intelligence that directly impacts production performance. Working across Engineering, Operations, and Quality, you will lead the development and deployment of predictive analytics solutions that improve yield, reduce variation, and drive smarter decision-making at scale.
What You Will Do
Transform factory data into actionable intelligence that improves production performance. Collaborate with Engineering, Operations, and Quality teams to build and deploy predictive analytics solutions. Develop models that directly impact yield, reduce variation, and support smarter decision-making.
Why It Might Be a Fit
Provide technical leadership and mentor junior data scientists and engineers. Establish best practices in applied data science across the organization. Become a subject matter expert in factory test data and uncover opportunities for improvement.
Requirements
- Typically requires a University Degree or equivalent experience and a minimum of 8 years of prior relevant experience, or an Advanced Degree in a related field and a minimum of 5 years of experience
- Experience developing in Python (NumPy, SciPy, scikit-learn, scikit-image) for production-grade statistical or machine learning applications (beyond academic examples)
- Demonstrated experience deploying, maintaining, and scaling machine learning models in production environments
- Experience with relational database management and SQL development
- U.S. Citizen - Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Benefits
- medical
- dental
- vision
- life insurance
- short-term disability
- long-term disability
- 401(k) match
- flexible spending accounts
- flexible work schedules
- employee assistance program
- Employee Scholar Program
- parental leave
- paid time off
- holidays
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