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Staff Data Scientist (SCM)
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Staff Data Scientist (SCM)

发布于 大约 14 小时前

普通员工/个人贡献者

Taipei, Taiwan
高级经验
全职员工
仅现场办公
本科
数据科学
Machine Learning
Pytorch
Sql
Tensorflow

AI 估算 · 50k–80k

Staff-level DS with ML/OR expertise in e-commerce, competitive international pay.

职位详情

关于这个职位

This role involves developing and deploying advanced machine learning and optimization models to automate supply chain decisions at Coupang. You will collaborate with cross-functional teams to solve complex problems in forecasting, prediction, and large-scale optimization, driving measurable business impact.

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, high-impact problems in the rapidly growing e-commerce supply chain domain.
  • Access to large-scale data and engineering infrastructure to deploy models at scale.
  • Collaborative, multidisciplinary environment with opportunities for continuous learning and innovation.
  • Competitive compensation and benefits from a publicly traded global company.
  • High expectations and fast-paced environment typical of a leading e-commerce company.
  • Must handle ambiguity and translate business needs into rigorous technical solutions.
  • Constant need to stay updated with latest ML/DL and optimization techniques.
  • This role is ideal for an experienced data scientist who is deeply passionate about applied research, enjoys solving complex supply chain problems, and thrives in a collaborative, high-growth environment.

缺点 / 挑战

暂无明显挑战项

角色解读

  • Progress to Principal Data Scientist or lead a data science team focusing on SCM.
  • Deepen expertise in advanced optimization, causal inference, and deep learning applied to supply chain.
  • Transition into broader AI/ML leadership roles within the company.
  • Develop and deploy machine learning and optimization models to automate supply chain decisions.
  • Collaborate with product, engineering, and business teams to translate ambiguous problems into data science solutions.
  • Conduct research and analysis to inform model development, setting metrics and success criteria.
  • Communicate findings and quantify the impact of launched solutions to technical and non-technical stakeholders.
  • Strong foundation in statistics, machine learning, and operations research.
  • Proficiency in Python, SQL, and data visualization tools like Tableau or Power BI.
  • Experience with ML frameworks such as TensorFlow or PyTorch, and handling large-scale datasets.
  • Excellent problem-solving and communication skills for cross-functional collaboration.

申请策略

  • Tailor your resume to emphasize your ability to solve ambiguous business problems with data science.
  • Research Coupang's services in Taiwan and how they differentiate in the market.
  • Prepare to discuss how you would approach real-world supply chain problems using data science.
  • Emphasize hands-on experience with ML/DL models in a production environment.
  • Highlight projects involving demand forecasting, optimization, or supply chain analytics.
  • Showcase proficiency in Python, SQL, and major ML frameworks like TensorFlow or PyTorch.
  • Quantify the business impact of your past solutions, such as cost savings or efficiency gains.
  • Strengthen knowledge of operations research techniques like linear programming, heuristics, and decomposition methods.

面试指南

  • Use the STAR method: Situation, Task, Action, Result, focusing on your specific contributions and measurable outcomes.
  • Demonstrate your problem-solving approach: clarify objectives, explore data, design experiments, iterate on models, and deploy with monitoring.
  • Show business acumen by linking technical decisions to business metrics and company goals.
  • Describe a complex supply chain problem you solved using machine learning or optimization.
  • How would you formulate a demand forecasting problem and what models would you consider?
  • Explain how you handle ambiguous business requirements when developing data science solutions.
  • How do you evaluate the business impact of your models after deployment?
  • Why do you want to join Coupang's supply chain technology team?

职位点评

69
综合评分

Senior data science role at a global e-commerce leader, offering cutting-edge technical challenges and strong growth, but with limited work-life balance information.

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。

更适合这类人
This role is best suited for experienced data scientists who are passionate about applied ML/OR, seek continuous skill growth in a high-impact environment, and are comfortable with a potential onsite work setting.
表现最好
成长发展
相对薄弱
工作生活
薪资福利70
成长发展85
工作生活50
使命价值60

薪资福利

70中等

While salary is not disclosed, the role is at Staff level in a publicly traded global e-commerce company, suggesting competitive compensation. However, no specific benefits are mentioned in the JD.

薪资信号未披露（AI估算：50K-80K/月）

成长发展

85较高

This role offers strong opportunities for skill growth in advanced machine learning, operations research, and large-scale data systems. The interdisciplinary environment and challenging problems contribute to significant professional development.

技术前沿前沿/新兴技术
技术栈Python、SQL、Tableau、Power BI、TensorFlow、PyTorch、R、Java、Spark、Hive、HBase、Redis、MongoDB、Machine Learning、Deep Learning、Operations Research
业务类型ambiguous

工作生活

50较低

The job posting does not mention remote work, flexible hours, or work-life balance signals. It is likely an onsite role in Taipei, but without explicit information, assumptions are uncertain.

工作模式未明确
办公地点未明确
加班情况未提及（无法判断）

使命价值

60中等

Coupang's mission focuses on customer satisfaction and innovation, but the social impact is general rather than mission-driven for societal good. The role contributes to efficient supply chains, indirectly benefiting customers.

行业发展稳定成熟行业
社会影响中性/一般
使命信号wowing each customer、How did I ever live without Coupang?
创新程度积极采用新技术

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