Remote Data Scientist II

Summary

Join our team at Earnest and contribute to making higher education accessible and affordable for everyone. As a Data Scientist II, you will design and implement ETL pipelines, prototype machine learning models, and communicate analyses to stakeholders.

Requirements

• 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

Responsibilities

• Design and implement ETL pipelines to ingest data from operational systems, third-party sources, and public datasets into the data warehouse
• 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 policies

Benefits

• Health, Dental, & Vision benefits plus savings plans
• Mac computers + work-from-home stipend to set up your home office
• Monthly internet and phone reimbursement
• Employee Stock Purchase Plan
• Restricted Stock Units (RSUs)
• 401(k) plan to help you save for retirement plus a company match
• Robust tuition reimbursement program
• $1,000 travel perk on each Earnie-versary to anywhere in the world
• Competitive days of annual PTO
• Competitive parental leave