Staff Data Scientist (SCM)
发布于 大约 18 小时前普通员工/个人贡献者
AI 估算 · 30k–50k
资深数据科学家，供应链优化方向，行业稀缺技能，薪资竞争力强。
职位详情
关于这个职位
This role is for a Staff Data Scientist in Coupang's supply chain technology team, focusing on applying AI/ML and operations research to optimize supply chain decisions. You will work cross-functionally to develop production solutions from scratch and enhance existing ones, driving automated decision-making at scale.
最低要求
Bachelor's/Master's degree in mathematics/statistics, computer science/engineering, industrial engineering, operations research, or any other quantitative disciplines, with 5+ years of relevant experience working in industry or academia Hands-on experience in statistics/ML fundamentals and demonstrated experience in Python, SQL, and basic visualization tools (e.g., Tableau, Power BI) Strong critical thinking skills and ability to solve ambiguous problems supported by solid knowledge of data science and machine learning fundamentals, with proven experience to formulate business problems to data science solutions Ability to conduct analysis independently for a business problem through data manipulation, hypothesis formulation, experiment design, and statistical analysis Excellent written and verbal communication skills to effectively engage with technical and business stakeholders at all levels, including presentation development and delivery
工作职责
Collaborate closely with cross-functional teams, including product, engineering, and business, to identify opportunities for enhancing our technology products, translating ambiguous business requirements into practical solutions. Conduct comprehensive research and analysis to inform model development, establishing metrics and success criteria for evaluating solution effectiveness Deliver data-driven solutions to support automated decision-making at scale, leveraging advanced Statistics, Machine Learning, and Operations Research techniques to optimize business processes and make data-driven decisions/predictions Analyze/solve complex data problems using innovative methods, such as deep learning, and communicate findings to technical and non-technical stakeholders through clear and concise reports and presentations Provide analysis for launched solutions to quantify outcomes based on real-world results, identifying areas for improvement and opportunities for future development
优先资格
Strong ability to model ambiguous business and operational problems at the appropriate level of abstraction, with a focus on delivering practical solutions Advanced proficiency with machine learning frameworks, tools, and languages such as Python, R, Java, TensorFlow, and PyTorch, with experience building ML/DL models to handle large-scale datasets Proven experience in AI/ML-driven demand forecasting, lead time prediction, causal models, fulfillment rate prediction, with the ability to collaborate with ML Engineers and Data Analysts to optimize model development and deployment Experience designing and implementing large-scale optimization solutions for complex business problems Expertise in developing and deploying advanced algorithms, including decomposition methods, heuristics/metaheuristics, and hybrid methods Familiarity with Big Data ecosystem (Spark, Hive, HBase) and SQL/NoSQL (Redis/MongoDB) for handling complex data transformations and analysis A deep understanding of the e-commerce business domain and the ability to apply cutting-edge models into production environments, driving measurable results
AI 洞察
优缺点分析
优点
- Work on complex and impactful supply chain problems at a leading e-commerce company.
- Access to large-scale data and resources to deploy state-of-the-art ML and OR solutions.
- Collaborate with talented cross-functional teams and gain exposure to business strategy.
- Requires deep technical expertise across multiple disciplines (ML, OR, engineering).
- Need to balance research rigor with practical, production-ready solutions.
- Fast-paced environment with high expectations for measurable business impact.
- This role is ideal for experienced data scientists passionate about applied research in supply chain and eager to solve real-world problems at scale.
缺点 / 挑战
暂无明显挑战项
角色解读
- You can grow into a Principal Data Scientist or lead a team of data scientists in supply chain.
- You may transition into a role focusing on AI/ML strategy or become a domain expert in supply chain optimization.
- Opportunities to work on cutting-edge AI/ML technologies and scale solutions across the company.
- You will work with cross-functional teams to identify opportunities for improving supply chain technology products and translate business needs into data science solutions.
- You will research and develop statistical, ML, and operations research models to optimize supply chain processes and support automated decision-making.
- You will analyze complex data problems using innovative methods like deep learning and communicate insights to stakeholders.
- Strong foundation in statistics, machine learning, and operations research.
- Proficiency in Python, SQL, and data visualization tools like Tableau or Power BI.
- Ability to model ambiguous business problems and design experiments to evaluate solutions.
申请策略
- Research Coupang's supply chain innovations and be ready to discuss how you can contribute.
- Prepare a portfolio of projects that demonstrate both technical depth and business impact.
- Emphasize experience in supply chain optimization, demand forecasting, or similar domains.
- Showcase projects where you developed and deployed production ML/OR models.
- Highlight technical skills: Python, SQL, TensorFlow, PyTorch, Spark, and optimization libraries.
- Deepen knowledge of operations research techniques like linear programming and heuristics.
- Get hands-on with big data tools (Spark, Hive) if not already proficient.
- Practice framing business problems into data science solutions and presenting results.
面试指南
- Use the STAR method: Situation, Task, Action, Result to structure your answers.
- For technical problems, clearly define the problem, discuss alternative approaches, and justify your chosen solution with metrics.
- Emphasize collaboration with cross-functional teams and communication of results to non-technical stakeholders.
- How would you approach a demand forecasting problem for a new product category?
- Describe a time you used optimization to solve a complex supply chain issue. What was the outcome?
- How do you evaluate trade-offs between model accuracy and computational efficiency?
- Walk me through how you would design an experiment to measure the impact of a new fulfillment strategy.
- Explain a machine learning project you led from concept to production.
职位点评
High-growth e-commerce, cutting-edge AI/OR, on-site in Taipei, strong developmental potential but limited WLB signals.
从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。
薪资福利
Coupang is a publicly traded company likely offering competitive compensation. However, no specific salary or benefits are mentioned in the JD, so compensation details are not fully disclosed.
成长发展
The role involves cutting-edge AI/ML and operations research, with opportunities to work on complex supply chain problems. Growth potential is high, though explicit mentoring or promotion paths are not mentioned in the JD.
工作生活
The JD indicates an on-site work mode with no mention of remote flexibility or work-life balance policies. The location in Taipei is urban, but no WLB signals are provided.
使命价值
Coupang's mission to wow customers and its rapid expansion in Taiwan provide a sense of purpose. However, no explicit social impact or mission-driven language is in the JD beyond general company introduction.
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