Lead a small group of DS developers in collaboration with product, BA, and MLOps
Cover tasks in DS model development/redevelopment and support deployment into multiple markets
Code development/redevelopment planning and support to DS developers during execution
Leading model tuning and code standards enforcement
Creating documentation and strong code management through version control
Leading testing/evaluation planning and establishing model evaluation and validation framework
Creating a standard test report structure and ensure production-grade code development
Planning RCA for any issues identified and creating monitoring plans
Working as a contingency resource for development to ensure timely delivery
Ensuring a common code base for efficient roll-out in new markets

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 the version control on Code, Data, and Machine Learning Models using GitHub
Good knowledge in coding standards, building re-usable services
Experience in end-to-end data science project delivery
B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
Recommended: completion of Fractal Data Science Professional Certificate

Senior Data Scientist, 5 to 8 Years

Key skills