默克生命科学
Data Scientist
Data Scientist
发布于 大约 15 小时前普通员工/个人贡献者
Taipei, T'ai-pei, Taiwan
中级经验
全职员工
仅现场办公
本科
数据分析与科学
Generative AI
CI/CD
Machine Learning
Optimization
Simulation
Palantir Foundry
AI 估算 · 15k–25k
Based on 2+ years experience, global company, and Taipei market, typical monthly salary range for Data Scientist is 15000-25000
职位详情
关于这个职位
As a Data Scientist at Merck Life Science, you will develop AI solutions for the Electronics business, focusing on transformative use cases in supply chain. You will work with Palantir Foundry and AWS, collaborating with product owners, data engineers, and domain experts. This role offers opportunities to grow within a global team of digital experts.
最低要求
Bachelor or Master in Computer Science, Mathematics, Physics, Chemistry, Engineering, Operations Research, or a similar field
+ years of professional experience applying Data Science outside academia, preferably in Supply Chain related fields
Proficiency in English is a must
Good knowledge in a broad range of Data Science methods (for example, tabular data ML, time series forecasting, simulation & optimization, generative AI) with hands-on experience in some areas
Very good coding skills in Python with experience in collaborative development and rapid prototyping
Initial experience in building end-to-end applications with basic knowledge in cloud-based stacks for ML Engineering and CI/CD
Excellent communication skills to interact with diverse stakeholders and ability to present complex technical concepts to non-expert audiences, paired with a curious mindset and a spirit of taking initiative
工作职责
Work on transformative use cases achieving measurable impact for Integrated Supply Chain business functions.
Translate business requirements into the right solution design.
Implement effective and robust tools on the internal Data & Analytics platform powered by Palantir Foundry and AWS.
Collaborate closely with product owners, data analysts, data engineers, and domain experts.
优先资格
Knowledge of Korean, Japanese, or Mandarin is a plus
AI 洞察
优缺点分析
优点
- Work at a global top-tier company with strong brand and resources.
- Hands-on experience with cutting-edge platforms like Palantir Foundry and AWS.
- Opportunity to impact real supply chain operations with AI.
- Requires ability to communicate complex technical concepts to non-expert stakeholders.
- May face tight deadlines and high expectations from business functions.
- Need to continuously learn new methods and tools in a fast-evolving field.
- This role is ideal for data scientists with 2+ years experience who enjoy applied AI in a corporate setting, have strong collaboration skills, and want to work on impactful supply chain problems.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to Senior Data Scientist or Lead Data Scientist within the team.
- Move into specialized roles like ML Engineer or Data Science Manager.
- Expand into broader digital leadership roles across the company's global digital community.
- Develop AI solutions for supply chain use cases, including forecasting, optimization, and generative AI.
- Translate business requirements into data-driven solutions and implement them on Palantir Foundry and AWS.
- Collaborate with cross-functional teams such as product owners, data engineers, and domain experts.
- Strong Python coding skills for rapid prototyping and collaborative development.
- Broad knowledge of data science methods: ML, time series, simulation, optimization, generative AI.
- Initial experience with end-to-end ML engineering and CI/CD pipelines on cloud platforms.
申请策略
- Tailor your resume to mention experience with end-to-end ML applications.
- Prepare to discuss a concrete use case where your solution delivered measurable impact.
- Highlight specific data science projects in supply chain or related fields.
- Emphasize Python proficiency and experience with cloud/ML platforms.
- Showcase ability to work in cross-functional teams and communicate with business stakeholders.
- Strengthen knowledge of time series forecasting and optimization methods.
- Gain hands-on experience with Palantir Foundry or similar platforms.
- Learn CI/CD practices for ML model deployment.
面试指南
- Use the STAR method (Situation, Task, Action, Result) for behavioral questions.
- For technical questions, outline the problem, your approach, model selection, evaluation, and business impact.
- Demonstrate your communication skills by explaining technical concepts in simple terms when asked.
- Describe a data science project you led from problem definition to deployment.
- How would you approach a demand forecasting problem for a supply chain?
- Explain a time you had to communicate a complex model to non-technical stakeholders.
- What experience do you have with cloud-based ML pipelines and CI/CD?
- How do you stay updated with new data science methods and tools?
职位点评
74
综合评分
Global company, modern AI stack, on-site in Taipei, good for career development but limited flexibility.
更适合这类人
Candidates who prioritize skill growth and working on cutting-edge AI in a stable global company are most suitable.
表现最好
成长发展
相对薄弱
工作生活
薪资福利80
成长发展85
工作生活60
使命价值70
薪资福利
80较高
Merck is a global top-tier company with competitive compensation and benefits. The salary signal is market standard, and benefits like health insurance and retirement plans are expected.
薪资信号未披露（AI估算：15K-25K/月）
成长发展
85较高
The role involves modern AI techniques (generative AI, ML, optimization) and provides opportunities to grow within a global digital community. There is mention of learning from each other and career growth.
技术前沿前沿/新兴技术
技术栈Python、Palantir Foundry、AWS、Machine Learning、Time Series Forecasting、Simulation、Optimization、Generative AI、CI/CD
成长机会opportunities to grow、continuously learn from each other
业务类型profit_center
工作生活
60中等
The job is full-time on-site in Taipei. No mention of remote work or flexible hours. The office location is likely in a business district.
工作模式仅现场办公
办公地点市区核心地段
加班情况未提及（无法判断）
使命价值
70中等
Work involves improving supply chain efficiency, which has positive impact on manufacturing and logistics. The company is a global leader in life science, contributing to healthcare and sustainability.
行业发展稳定成熟行业
社会影响中性/一般
创新程度积极采用新技术
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