Manage Data Science projects leading small teams of Data Scientists
Ability to work collaboratively with cross-functional/cross-geography teams to improve outcomes of projects/BD activities/Product development/Projects execution involving Data Science.
Effectively communicate the analytics approach and how it will meet and address business partners' objectives.
Ability to perform data discovery tasks and work with large data sets.
Apply Data Mining/ Data Analysis methods using various data tools, build and implement models using algorithms, and create/run simulations to drive optimization and improvement across business functions.
Qualifications:
A Bachelors or Master’s in computer science or related disciplines (including
Math/Statistics), with at least 4 years of relevant work experience (Must have)
Skill Expectations:
Experience building production ML pipelines for model training/prediction in Python and R. (Must have)
Experience working with open-source ML libraries such as Sklearn, Pandas, and TensorFlow (Must have)
Create and maintain ML model training/prediction pipelines in production
Create re-usable tools and frameworks for ML model deployment and monitoring
Experience working with large data sets, coming from varied sources (Must have)
Experience with both object-oriented and functional programming concepts (Must have)
Good knowledge of MS productivity tools (Must have)
Working knowledge of visualization tools (e.g. Tableau/Power BI etc.) (Good to have)
Experience working with ML model training/deployment tools (such as Airflow, Kubeflow, Seldon etc.) (Good to have)
Familiarity with data engineering tools (Spark/Kafka etc.) (Good to have)