Data Scientist II

Summary

Join Earnest, a company dedicated to making higher education more accessible and affordable. As a Data Scientist II, you will play a crucial role in developing and implementing machine learning models to improve our products and services. You will design and implement ETL pipelines, extract data from various sources, and prototype machine learning models using Python and popular frameworks. This role requires strong communication skills to articulate model impact to stakeholders and drive business decisions. The position offers a competitive salary, remote work flexibility with monthly in-office collaboration, and a comprehensive benefits package.

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
• Willingness to travel to the Oakland office monthly to collaborate with other Earnies

Responsibilities

• 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 policies
• Guide product recommendations and model development
• Communicate analyses and results to the Data team backed by data and coupled with actionable conclusions to drive business decisions
• Create new analytical approaches, design efficient data querying and modeling development

Preferred Qualifications

PhD in Machine Learning or very related topic, or Master’s degree with equivalent experience with a minimum of 1-2 years of experience

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