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Data Scientist
Remote, US
Posted on 11/6/2023
Earnest

201-500 employees

FinTech lender specializing in affordable education finance
Company Overview
Earnest is a fintech lender that stands out for its commitment to making higher education affordable, offering lending products that help individuals manage and reduce student debt. The company's remote-first culture is dynamic and value-driven, focusing on customer satisfaction, continuous improvement, speed, passion for challenges, and teamwork. In addition to a diverse and inclusive work environment, Earnest provides competitive incentives such as a $1,000 travel perk, a generous PTO policy, an annual office stipend, and more, making it an attractive place to work.
Financial Services

Company Stage

M&A

Total Funding

$696.3M

Founded

2013

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

2%

1 year growth

4%

2 year growth

13%
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Marketing
R
SQL
Tableau
Python
Looker
Power BI
CategoriesNew
Data & Analytics
Requirements
  • 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
  • Understanding of financial metrics and bond markets
  • Understanding of econometrics and elasticity in pricing optimization
  • Experience with convex optimization
  • Experience with BI tools such as Looker, Tableau, PowerBI, etc
  • Machine learning modeling experience
Responsibilities
  • 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