全职 Data Scientist 工作, 薪水, RAPSYS TECHNOLOGIES PTE LTD 公司招聘中 - Ricebowl

Data Scientist

Educational Qualification & Experience

- Education: Degree in Data Science, Computer Science, Statistics, Machine Learning, Data Analytics, or Information Systems preferred.
- Experience:
- Experience working with large, messy operational or transactional datasets.
- Experience in applied data science, including statistics, feature engineering, machine learning, and model evaluation.
- Experience with techniques such as anomaly detection, classification, clustering, or risk modelling.
- Experience building data pipelines and taking models beyond experimentation into production environments.

Technical & Professional Competencies

- Essential (Must-Have):
- Strong proficiency in Python and SQL.
- Able to translate a business or operational problem into an analytical problem and determine the appropriate modelling approach.
- Familiarity with software engineering practices including Git, automated testing, and APIs.
- Comfortable assessing model trade-offs and explaining them clearly to non-technical stakeholders.
- Preferred (Advantageous):
- Familiarity with containers, CI/CD, or other DevOps / ModelOps practices would be advantageous.

Soft Skills & Communication Attributes

- Able to work independently in an ambiguous, fast-moving environment and collaborate closely with engineers, product teams, and domain experts.
- Strong sense of ownership for turning analysis into something that is used in an operational workflow.