Senior Data Scientist - NQC Reduction and Manufacturing Quality

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a highly experiencedSenior Data Scientistwith a strong background inmanufacturing, quality, and process optimization analytics . This role will focus on analyzing complex manufacturing and sensor data to drive measurable improvements incost, quality, yield, and waste reduction .Key ResponsibilitiesAnalyze large-scale manufacturing data, includingsensor, batch, recipe, and production line data Develop analytics solutions to identifydefects, scrap, rework, and process deviations Performroot cause analysisandmultivariate process analysisto uncover drivers of quality issues Buildanomaly and defect detection modelsto proactively identify process failures Partner with manufacturing, quality, and operations teams to translate findings into actionable improvements Deliver measurable outcomes such ascost reduction, waste minimization, and quality improvement 10+ yearsof experience in applied data science or advanced analytics 5+ yearsof hands-on experience inmanufacturing, quality, or process optimization analytics Proven experience working withmanufacturing process dataandquality outcome data Demonstrated track record of deliveringmeasurable business impact 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.