The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce.
We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference.
This position can be fulfilled in our San Jose and Seattle offices.
You'll work on:
- Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and opeartion research methods.
- Create supply chain's data portrait and knowledge graph in various dimensions such as vendors, commodity, place of origin, inventory, production capacity and quality of fulfillment, etc. Establish data-driven control-adjustment methods that enhance operational outcomes and user experience.
- Highlight global e-commerce trends to optimize e-commerce commodity supplies, forecast commodity demand, recommend vendor stocking and enhance production capacity.
Role and Responsibilities:
-Responsible for designing optimization algorithm strategies for order allocation systems, able to meet diverse goals and constraints.
-Responsible for estimating the probability of core decision variables in the order allocation system and building simulation capabilities, continuously improving estimation accuracy.
-Responsible for the design of optimization algorithm strategies for commodity/freight pricing in multiple modes for domestic/cross-border scenarios, collaborating with upstream and downstream partners to optimize subsidy pricing and achieve the best price.
-Responsible for modeling the probability estimation problems of logistics costs/benefits, price elasticity, etc., and continuously improving accuracy through machine learning and causal inference methods.
-Deeply understand the e-commerce business scenario, and refine the direction of logistics operation mode optimization, logistics cost reduction, and service quality improvement through data mining;
-Participate in product design, work closely with product, operations, and management teams to promote the productization and implementation of algorithm models to continuously empower business.