Senior Data Scientist – NQC Reduction, Manufacturing Quality
Job Description:
- Analyze large-scale manufacturing data, including
sensor, batch, recipe, and production line data
• Develop analytics solutions to identify
defects, scrap, rework, and process deviations
• Perform
root cause analysis
and
multivariate process analysis
to uncover drivers of quality issues
- Build
anomaly and defect detection models
to proactively identify process failures
- Partner with manufacturing, quality, and operations teams to translate findings into actionable improvements
- Deliver measurable outcomes such as
cost reduction, waste minimization, and quality improvement
Requirements:
10+ years
of experience in applied data science or advanced analytics
5+ years
of hands-on experience in
manufacturing, quality, or process optimization analytics
• Proven experience working with
manufacturing process data
and
quality outcome data
• Demonstrated track record of delivering
measurable business impact
Benefits: This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.*Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.* Apply tot his job Apply To this Job