The Data Scientist II position will report to the Manager, Data Scientist. As the Data Scientist II, you will: 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 datasets.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. Draft recommendations for stakeholders that would optimize the product and underwriting policies.Your Impact: 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 involve creating new analytical approaches and designing efficient data querying and modeling development.About You: 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, Airflow, and DBT to support data-driven model development.Willingness to travel to the Oakland office monthly to collaborate with other Earnies.Even Better: PhD in Machine Learning or a very related topic, or Master's degree with equivalent experience with a minimum of 1-2 years of experience.Where: This role will be based in the San Francisco Bay Area.While you'll enjoy the flexibility of remote work, we also love to see our Earnies face-to-face! We ask you to join us at our Oakland office for 3 consecutive days a month for team collaboration and some fun. It's a chance to connect, share ideas, and maybe even grab some coffee together!
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