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. You'll work on: - 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. 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: - 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.

Qualifications

Minimum Qualifications - 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. - Coding experience in solving LP/ IP problems using Gurobi, CPLEX, SCIP, ORTools and languages in Python/Go/Java/C++. Being proficient in basic data structures and algorithms. - 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. Preferred Qualifications - 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.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $162000 - $387600 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.