
【Merkle 美庫爾】 Data Scientist 數據科學家
Phúc lợi công việc
Giờ làm việc linh hoạt
Productivity curve is not something steady and consistent as it depends on each person's unique traits and preferences. At our company, as long as your team is in sync and your goal is hit, you can flexibly decide when you want to work.
Miễn phí đồ ăn và thức uống
Avoid wasting time and energy to buy food at the restaurant or hawker center by yourself. We'll provide the best food for you and your team. Make better use of your valuable time to rest, bond, and do other things that matter to you.
Hoạt động team-building
Our company simply cannot function well without teams of people working together. That said, we provide numerous team-building activities and events for you and your team to nurture meaningful relationships between every individual.
Cơ hội phát triển nghề nghiệp
Ever feel stuck with your career? We don't hire you simply because we needed to fill an empty slot. Together, we will help you shape and grow your career so you can progress further and rediscover your true sense of purpose at work.
Skills
Chi tiết công việc 【Merkle 美庫爾】 Data Scientist 數據科學家 tại Dentsu 電通行銷傳播集團
- Define quantitative measurement for qualitative goals
- Drive complex analytics projects from loosely defined questions to actionable insight.
- Utilizing statistical or machine learning methods to perform predictive analytics.
- Utilizing existing technologies to explain predictive analytics results in production environment.
- Work closely with cross-functional teams of analysts, product owners, marketers, designers, and others to identify opportunities for leveraging data to drive business solutions
- Strong problem solving skills
- Deep understanding of numbers, as well as a strong business sense.
- Familiar with various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- Experience using statistical computer languages and tools such as Scala, R, Python, SQL, Spark, etc




