Data Science Manager

• Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities:

• Connect with internal / external POC to understand the business requirements • Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis

• Create project plan and sprints for milestones / deliverables

• Spin VM, create and optimize clusters for Data Science workflows

• Create data pipelines to ingest data effectively

• Assure the quality of data with proactive checks and resolve the gaps • Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms

• Research whether similar solutions have been already developed before building ML models

• Create optimized data models to query relevant data efficiently

• Run relevant ML / DL algorithms for business goal seek

• Optimize and validate these ML / DL models to scale

• Create light applications, simulators, and scenario builders to help business consume the end outputs

• Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively

• Integrate and operationalize the models in client ecosystem

• Document project artifacts and log failures and exceptions.

• Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedback