Ensure that data science outputs have practical, measurable applications, consistently connecting analytical insights to strategies that drive meaningful audience growth
Data Pipeline Architecture and Delivery: Lead the design and implementation of maintainable batch and streaming pipelines that ingest, validate, transform and publish structured, semi-structured and unstructured data across AWS and Databricks.
Proven track record in developing, evaluating, and validating statistical or machine learning models using appropriate validation approaches and performance metrics