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