- Develop and maintain a global logistics and warehousing network by leveraging data analysis, machine learning, and operational research methodologies to enhance operational efficiency and minimize cost.
- Generate a comprehensive data portrait of the supply chain in various dimensions, such as vendors, commodities, origin points, inventory, production capabilities, and order fulfillment quality. Establish datadriven methodologies for control and adjustment to improve operational outcomes and the user experience.
- Identify and highlight global ecommerce trends to optimize the supply of ecommerce commodities, forecast demand, suggest vendor stocking, and enhance production capacity.
- As a Tech Lead Manager, you will also be expected to lead and manage a small team, providing guidance, fostering growth, and ensuring that project timelines are met.
- We are seeking a motivated, professional individual to contribute to the construction and enhancement of our smart supply chain through businessfocused data mining and continuous algorithm iteration.
- The candidate must possess strong analytical skills to comprehend the underlying logic of the ecommerce supply chain and the creativity to spot and exploit opportunities for improvement in warehouse layout optimization, inbound and outbound logistics, vehicle routing, and inventory planning.
- The successful candidate will be expected to build optimization models and design algorithms for decision support. Strong communication skills are necessary for engaging with clients, understanding their business challenges, presenting results, and partnering with Operations and R&D teams throughout the engagement and implementation process.
- Hold a Master's degree or higher in Computer Science, Automation, Statistics, Mathematics, Logistics, or Operations Research.
- Experience in solving LP/ IP problems using tools such as Gurobi, CPLEX, SCIP, ORTools, and proficient in programming languages such as Python, Go, Java, or C++. Familiarity with basic data structures and algorithms is required.
- Demonstrable skills and experience in machine learning, data analytics, and feature engineering.
- Selfdriven, with a solid understanding of the underlying logic of the business and the ability to adapt to rapid business changes.
- Excellent communication skills, effective team leadership, and the courage to drive business change.
- Experience in applying logistics-related algorithms in the e-commerce sector, optimization experience in large-scale operations research problems, and familiarity with various heuristic algorithms.
- Previous experience leading and managing a technical team in a fastpaced environment.
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Tech Lead Manager- E-commerce Global Supply Chain and Logistics - Seattle, United States - TikTok
Description
ResponsibilitiesTikTok 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, Mumbai, Singapore, Jakarta, Seoul, and Tokyo.
Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform.
We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes.
Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility.
Join us and make impact happen with a career at TikTok.Data-E-commerce-Global Supply Chain and Logistics team:
Our missions is to optimize the variety & cost-saving of goods and the speed & quality of fulfillment to ensure the user experience of global e-commerce service.
Your responsibilities:
Role & Responsibilities:
Qualifications:
It's a plus if you have:
To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
We are passionate about this and hope you are too.
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.