Responsibilities
Collect, prepare, and analyze structured and unstructured data to identify insights, and develop, validate, evaluate, and where applicable deploy machine learning models. Translate stakeholder needs into data science solutions, communicate findings through reports and visualizations, collaborate across teams, and document analytical work.
Requirements
Requires strong programming skills in Python or R, knowledge of statistics, probability, machine learning, SQL, and relational databases, and experience with data preparation, feature engineering, and model evaluation. Candidates should have strong analytical and problem-solving abilities and be able to communicate technical findings to technical and non-technical stakeholders.
