Operation Research Engineer- TikTok E-commerce Global Supply Chain and Logistics - Emory, United States - Tik Tok
Description
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team.
Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.About the Team
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.
Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation 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.
Highlight global e-commerce trends to optimize e-commerce commodity supplies, forecast commodity demand, recommend vendor stocking and enhance production capacity.
Role and Responsibilities
We are seeking a motivated professional role to participate in the construction of the smart supply chain, mostly for business-oriented data mining and continuous algorithm iteration.
The individual must be analytical enough to understand the underlying logic of the e-commerce supply chain, yet creative enough to see improvement opportunities in warehouse layout optimization, warehouse inbound and outbound logistics optimization, vehicle routing problem, inventory stocking & inventory allocation planning.
The successful candidate will be required to build the optimization model and design the algorithm to support decision optimization.The position requires strong communication skills to work with customers, understanding their business problems, present results, and partner with Operations and R&D teams throughout the engagement and implementation.
Major in computer/automation/statistics/mathematics/logistics/operations research, master degree or above; more than 2 years experience in machine learning, data mining and other related fields.
Machine learning, data analytics and feature engineering experience and skills.
Being self-driven, understanding the underlying logic of the business, adapting to rapid business changes.
Good communication skills and courage to change business.
Nice if you are:
Experience in the application of logistics-related algorithms in the field of e-commerce, optimization experience in large-scale operations research problems, being familiar with various heuristic algorithms.