Contribute up and down the stack from data exploration, creating data pipeline, generating insights/features, building ML models to deploying them; Support on R&D/discovery pilot projects where we enable clients to understand their data and problems which can be solved using the platform; Work closely with a team of ML Engineers, Data Engineers, and Product Managers to build and deploy machine learning models; Play an active role in leading team meetings and workshops with clients; Rotate between client project work and internal product development in alignment with your personal development plan
Requirements:
Master of Science or PhD - Data Science or any related field; Have previously built insights from ML models, building explainable ML models and not just black box algorithms; Demonstrates the ability to make "Data Driven Decisions" and has the ability to communicate why those decisions make sense; Excellent communication with technical and non-technical teammates as well as clients. Prior experience in a client facing role will be necessary; Understands the importance of "Data exploration" (in Jupyter notebooks/SQL) as well as building models and setting up data/ML pipelines
Text:
Senior Data Scientist Contribute up and down the stack from data exploration, creating data pipeline, generating insights/features, building ML models to deploying them; Support on R&D/discovery pilot projects where we enable clients to understand their data and problems which can be solved using the platform; Work closely with a team of ML Engineers, Data Engineers, and Product Managers to build and deploy machine learning models; Play an active role in leading team meetings and workshops with clients; Rotate between client project work and internal product development in alignment with your personal development plan Master of Science or PhD - Data Science or any related field; Have previously built insights from ML models, building explainable ML models and not just black box algorithms; Demonstrates the ability to make "Data Driven Decisions" and has the ability to communicate why those decisions make sense; Excellent communication with technical and non-technical teammates as well as clients. Prior experience in a client facing role will be necessary; Understands the importance of "Data exploration" (in Jupyter notebooks/SQL) as well as building models and setting up data/ML pipelines
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