- Lead a small group of DS developers incollaborate/streamlinedata science work with product, BA, MLOps. Cover tasks in DS modeldevelopment/redevelopmentand 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.
- Codedevelopment/redevelopmentplanning, 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.
- Technical Skills:
- Brings 3+ 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
- Non-Technical Skills:
- Solution Designing
- Critical Thinking
- Ecommerce Domain Understanding (Good to Have)
- EDUCATION:
- B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
Recommended: completion of Fractal Data Science Professional Certificate
