Senior Data Scientist – Global E-Commerce – Supply Chain & Logistics
| Company | ByteDance |
|---|---|
| Location | Seattle, WA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or relevant fields, with 3 years of experience in data mining, machine learning or operational research.
- Proficient in SQL and data analysis/modeling with R/Python.
- Knowledgeable in data analytics, mining techniques, and machine learning or optimization algorithms, with an understanding of deep learning principles.
- Strong analytical and problem-solving skills, with the ability to learn quickly and work well in a team.
- Skilled in cross-team collaboration, business acumen, and strong communication, with resilience and interest in new technologies and challenges.
Responsibilities
- Conduct data science and analytics for international e-commerce supply chain and logistics.
- Apply the latest statistics and machine learning methods to merchant and supply chain management to facilitate business growth.
- Work with development, product, and operations teams to optimize supply chain logistics functionalities using statistical or machine learning techniques.
- Analyze and deconstruct the impact of logistics strategies, contributing to data-driven decision-making and capabilities like forecasting and simulation.
Preferred Qualifications
- Familiarity with big data technologies like Hadoop, Spark, Hive, and Flink is a plus.
- Prior experience in supply chain or logistics and practices in big data or algorithm engineering is desirable.