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.***