RRemoteville
Earnest logoEarnest

Data Scientist II

Skills
Computer ScienceAmazon RedshiftData MiningData ScienceGoogle BigqueryMachine LearningNatural Language Processing
Role

What the job involves

The main requirements, responsibilities and hiring steps.

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, BigQuery, and Redshift to support data-driven model development
  • Willingness to travel to the Oakland office monthly to collaborate with other Earnies

Nice to have

  • Computer Science
  • Amazon Redshift
  • Data Mining
  • Data Science
  • Google Bigquery
  • Machine Learning
  • Natural Language Processing
  • Pattern Recognition
  • Predictive Analytics
  • Python
  • Data Warehouse
  • ETL
  • Pipelines
  • Feature Engineering
  • Model Selection
  • Validation
  • Stakeholder Management
  • Data Querying
  • Recommendations
  • Snowflake
  • BigQuery
  • Redshift
  • Scikit-learn
  • TensorFlow
  • PyTorch

Day to day

  • You will design and implement ETL pipelines to ingest data from operational systems, third-party sources, and public datasets into the data warehouse
  • You will transform existing data for user consumption, and source data for model training
  • You will extract data for model training from various sources, including data warehouses such as Earnest and Navient, production databases, third-party providers, and publicly available datasets
  • You will prototype machine learning models by applying best practices in feature engineering, model selection, and validation
  • You will write efficient code using popular frameworks such as Scikit-learn, TensorFlow, and PyTorch
  • You will articulate to stakeholders the impact of the models and analyses through presentations and reports
  • You will draft recommendations for stakeholders that would optimize the product and underwriting policies

Hiring process

  • Read more below, and let’s build something great together