Job Detail

Job Description

• Lead a small group of DS developers in collaborate/streamline data science work with product, BA, MLOps. Cover tasks in DS model development/redevelopment and support the deployment into multiple markets for production purpose.
• Leading the collaboration with MLOps to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support.
• Code development/redevelopment planning, provide direct support to DS developers in the execution.
• Leading model tunning.
• Ensure proper code standard are enforced, complete documentation is created and strong code management through version control. Leading regular code review together with the data scientist project lead.
• Leading the testing/evaluation planning with the data scientist project lead. Establishing model evaluation and validation framework in the context of deployment. Creating standard test report structure.
• Ensure production grade code is developed and maintained for quick roll-out purpose. High level of transparency and replicability is achieved.
• Leading the planning of RCA for any issue identified.
• Creating the monitoring plan for production.
• Support the activities in the UAT with the end users.
• Working as the contingency resource for development to ensure timely delivery.
• Ensure a common code base is created for efficient roll-out in new market with highly modular architecture, well designed data abstraction, high configurability and high level of parameterization.

• Brings 6+ years of deep data science experience.
• Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon, Databricks
• Experience with programming languages such as Python, R, Spark
• Strong understanding of data structures, algorithms, and software design principles, highly sensitive to algorithm complexity.
• Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage
• Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub.
• Strong experience in development planning.
• Good knowledge in coding standard, building re-useable services.
• Experience in end-to-end data science project delivery

Skills Required

• Python
• System Design