Data Scientist II, Earnest

• Bachelor’s Degree in Computer Science, Data Science, Statistics or a related field
• 3 years of experience developing traditional machine learning models using Python and applying advanced algorithms
• 2+ years of hands-on experience working with data warehouse systems such as Snowflake, BigQuery, and Redshift to support data-driven model development
• Willingness to travel to the Oakland office monthly to collaborate with other Earnies

Desirable

• The Data Scientist II position will report to the Manager, Data Scientist
• Design and implement ETL pipelines to ingest data from operational systems, third-party sources, and public datasets into the data warehouse, transform existing data for user consumption, and source data for model training
• Extract data for model training from various sources, including data warehouses (e.g., Earnest, Navient), production databases, third-party providers, and publicly available dataset
• Prototype machine learning models by applying best practices in feature engineering, model selection, and validation, while writing efficient code using popular frameworks such as Scikit-learn, TensorFlow, and PyTorch
• Articulate to stakeholders the impact of the models and analyses through presentations and reports. Drafts recommendations for stakeholders that would optimize the product and underwriting policie
• You will be responsible for guiding product recommendations and model development.
• You will communicate analyses and results to the Data team backed by data and coupled with actionable conclusions to drive business decisions.
• This role will be creating new analytical approaches, design efficient data querying and modeling development