Responsibilities
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:
- 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 data-driven methodologies for control and adjustment to improve operational outcomes and the user experience.
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- Identify and highlight global e-commerce trends to optimize the supply of e-commerce commodities, forecast demand, suggest vendor stocking, and enhance production capacity.
Role & Responsibilities:
- 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 business-focused data mining and continuous algorithm iteration.
- The candidate must possess strong analytical skills to comprehend the underlying logic of the e-commerce 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.
Qualifications
Minimum Qualifications:
- 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.
- Self-driven, 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.
Preferred Qualifications:
- 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 fast-paced environment.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $199500 - $340000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.