36 минут назад
Staff Data Scientist (Supply Chain AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist (Supply Chain AI/ML): Developing production data science solutions for automated supply chain management with an accent on machine learning, statistics, and operations research. Focus on demand forecasting, lead time prediction, large-scale optimization, and solving complex business problems with deep learning and advanced algorithms.
Location: Taipei, Taiwan
Salary: Not specified
Company
operates an e-commerce platform in Taiwan, including next-day Rocket Delivery and international Rocket Overseas delivery services.
What you will do
- Collaborate with product, engineering, business, and operations teams to identify supply chain technology opportunities.
- Translate ambiguous business requirements into practical data science and machine learning solutions.
- Conduct research and analysis, define metrics, and establish success criteria for model evaluation.
- Develop production solutions for automated decision-making at scale using statistics, machine learning, and operations research.
- Analyze complex data problems with methods such as deep learning and communicate findings to technical and non-technical stakeholders.
- Evaluate launched solutions using real-world results and identify opportunities for improvement.
Requirements
- Bachelor's or master's degree in a quantitative discipline such as mathematics, statistics, computer science, engineering, industrial engineering, or operations research.
- 5+ years of relevant industry or academic experience.
- Hands-on knowledge of statistics and machine learning fundamentals, with experience using Python, SQL, and basic visualization tools such as Tableau or Power BI.
- Ability to independently perform data manipulation, formulate hypotheses, design experiments, and conduct statistical analysis.
- Strong critical thinking, problem-solving, and business communication skills.
- Ability to present findings clearly to technical and business stakeholders.
Nice to have
- Advanced experience with Python, R, Java, TensorFlow, and PyTorch for large-scale ML and deep learning models.
- Experience with demand forecasting, lead time prediction, causal models, or fulfillment rate prediction.
- Experience designing large-scale optimization solutions, including decomposition methods, heuristics, metaheuristics, and hybrid methods.
- Familiarity with Spark, Hive, HBase, Redis, MongoDB, and SQL/NoSQL data systems.
- Understanding of e-commerce and experience deploying advanced models into production.
Culture & Benefits
- Work in an interdisciplinary supply chain management technology team.
- Collaborate across product, engineering, business, and operations functions.
- Contribute to 's expansion and technology development in Taiwan.
- Equal employment opportunities are provided, including for applicants with disabilities and veterans.
Hiring process
- Application review.
- Phone interview.
- Onsite or virtual onsite interview, followed by an offer.
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