Data Scientist, Earnest

• 2+ years in R/Python and SQL
• 2+ years professional experience in model development and/or data analytics (or Master's degree in Data Science, Operations Research, Industrial Engineering, Economics or a related quantitative field with 1+ years of professional experience in model development and analytics)
• Expertise in statistical inference
• Experience in product analytics and experimental design
• Deep understanding of classification, regression and forecasting models and AB testing
• Experience working in a cross-functional environment with teamwork and excellent communication skills

Desirable

• As a Data Scientist, you will report to the Data Science Manager
• You will play a pivotal role in our data-driven decision making and drive impact for our Growth, Risk, Product, and Marketing teams
• You'll have the opportunity to work on cutting-edge projects that involve credit risk modeling, causal inferencing from experimental results, custom large-language modeling and NLP tasks for income verification
• Develop and support financial loan pricing and conversion optimization models
• Build forecasting models on both product demand and internal operations backlog
• Optimize product conversion by running A/B tests and other experimentation methods on our pricing, marketing and product models
• Research and prototype models and present in model review sessions
• Work with data and infrastructure engineers to deploy your model or develop required data pipelines to automate training and monitoring with BI tools
• Prepare technical design and git/confluence documentation
• Work with general managers, marketing and operation teams to identify and address their data modeling needs for better forecasting and planning