Lead a small group of DS developers in collaborative/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 execution
Leading model tuning
Establish 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

5 to 8 years of experience in data science
Strong knowledge of machine learning and statistical modeling techniques in a cloud-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
Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage
Experience in configuring and setting up version control on Code, Data, and Machine Learning Models using GitHub
Experience in end-to-end data science project delivery
Education: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent

Senior Data Scientist, 5 to 8 Years

Key skills