薪資
70k - 120k TWD Monthly
技能需求
工作機會描述
About the Job
- Build data driven systems for risk control, fraud detection, recommendation, customer segmentation, adaptive pricing etc.
- Build, validate, test, and deploy models and algorithms.
- Work with backend engineers to architect data storage and processing pipelines.
- Work with product managers to develop new product features based on insights from data.
What You Should Have
- Bachelor’s Degree in Computer Science/ Mathematics/ Statistics, or fields related to data mining preferred.
- Experience in big data processing with Python, R or Scala.
- Experience in building data pipelines using distributed processing frameworks (e.g Spark, Hadoop, Kafka) and MPP databases (e.g BigQuery).
- Operational experience with industrialization, orchestration (e.g Kubernetes), containers in cloud (e.g Docker, GCP).
- Knowledge in supervised/unsupervised learning, classification/clustering algorithms, feature engineering/optimization is a plus.
- Outstanding analytical and problem-solving skills.
- Self-motivated, innovative, and proactive. Willing to learn new knowledge and explore unfamiliar domains.
Axinan
Axinan is Singapore-based Insurtech start-up powered by big data, actuarial risk management and machine learning.
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