Description
This individual contributor designs and develops data pipelines, automates data acquisition and ingestion, transforms and cleanses data, and supports downstream consumption. The role also analyzes complex datasets, creates features for machine learning, trains and validates statistical models, deploys models in production, and collaborates with internal and external stakeholders to deliver data-driven insights. It requires at least three years of experience in exploratory data analysis, machine learning or algorithms, statistical analysis and modeling, and programming, plus one year of leadership experience; a bachelor's degree in a related field and five years of data science or related experience are also required.
