Deploy cutting-edge statistical techniques to delve into market dynamics, customer preferences, and potential risks in the automotive steel industry; analyze data sets to identify promising clientele, uncovering growth avenues or market challenges for automotive steel offerings; scrutinize customer metrics for segmentation, anomaly identification, and risk assessments using state-of-the-art analytical tools; optimize distribution channels by allocating resources prudently, fine-tuning manufacturing timelines, enhancing supply chain efficiency, and crafting price models for maximum profitability; build sophisticated predictive frameworks to forecast sales patterns, gauge influential market factors; undertake in-depth competitor studies utilizing advanced analysis, encompassing methods like categorization, data clustering, and decision analysis; gauge market dynamics pre- and post-product launches with meticulous pairwise comparisons; assess their impact on manufacturing, logistics, and sales operations; and foresee potential market uncertainties and devise strategies to counteract them, ensuring the company's resilience and adaptability in diverse market conditions.
Requirement: Bachelors degree in Data Science, Actuarial Science, or Applied Mathematics.

Work location: POSCO International America Corp. 10497 Town and Country Way, Suite 140, Houston, TX 77024

Contact Person: Lydia Kim/HR Deputy General Manager, POSCO International America Corp. 300 Frank W. Burr Blvd. Suite 23, Teaneck, NJ 07666