Earnest

Data Scientist

Earnest$194K *
US-AnywhereRemote in San Francisco, CA
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Data Science, Statistics, Business Analytics, or related field.
  • 4 years of experience as a Data Scientist or in a related occupation.
  • 2 years designing and implementing ML models for underwriting, propensity, or collections applications.
  • Proficient in SQL, Python, and R for data analysis, modeling, and automation.
  • Experience in product analytics and experimental design, including A/B testing and causal inference.

Responsibilities

  • Guide product recommendations and model development for internal stakeholders.
  • Develop and maintain predictive ML models to assess risks and opportunities in lending products.
  • Participate in end-to-end ML pipeline from data collection to model deployment, collaborating with engineers.
  • Conduct experimentation and causal inference analyses to optimize conversion rates.
  • Write code for inferential models and document modeling decisions using Confluence or GitHub.
  • Collaborate with cross-functional teams to accelerate solution iteration and achievement of outcomes.
  • Present model impacts and insights, drafting recommendations for product and underwriting improvement.

Benefits

  • Health, dental, and vision benefits plus savings plans.
  • Mac computers and work-from-home stipend for home office setup.
  • Monthly internet and phone reimbursement.
  • Employee Stock Purchase Plan and Restricted Stock Units (RSUs).
  • 401(k) with company match for retirement savings.
  • Robust tuition reimbursement program.
  • $1,000 travel perk on each Earnie-versary.
  • Competitive annual PTO and parental leave.
Full Job Description
Title: Data Scientist Duties: - The Data Scientist at Earnest LLC in Oakland, CA will guide product recommendations and model development, and communicate analyses and insights to the Data team and broader organization. - Develop and maintain predictive machine learning (ML) models to assess potential risks and opportunities across Earnest's lending products, contributing to the enhancement of risk and marketing assessment procedures. - Participate in the end-to-end ML pipeline, spanning from data collection to model deployment. This includes collaborating with data and infrastructure engineers to automate training and monitoring using BI tools and writing ETL pipelines to source data for model training from various sources such as Earnest or Navient data warehouses, production databases, third-party providers, and publicly available datasets. - Conduct experimentation and execute causal inference analyses on pricing, marketing, and product models to optimize product conversion rates. - Write code for inferential models that guide product and underwriting decisions, and document modeling decisions through Confluence or GitHub Readme files. - Collaborate closely with cross-functional teams and stakeholders to accelerate solution iteration and achieve measurable outcomes. - Articulate model impacts and analytical insights through presentations and reports, draft recommendations to optimize product and underwriting policies, and provide guidance and mentorship on modeling best practices to peers on the team. - Position is 100% remote. Salary: $194,834 per year. Requirements: - Master's degree in Data Science, Statistics, Business Analytics, or a related field, plus 4 years of experience as a Data Scientist or related occupation. - Must have 2 years of experience with each of the following: (1) designing and implementing machine learning models, including regression, classification, and forecasting for applications including underwriting, propensity, or collections models; (2) SQL, Python, and R for data analysis, modeling, and automation; (3) product analytics and experimental design, including A/B testing and causal inference; (4) building, testing, and deploying scalable data pipelines and production-ready models using statistical and ML methods; (5) researching and resolving data-related issues within the Financial Services, E-commerce, or Fintech sectors to drive informed decision-making and optimize business processes. This notice is subject to Earnest LLC's employee referral program. Interested candidates can online at www.earnest.com/careers [earnest.com] or send a resume to [redacted] and reference job code 065. Contact Chayna Eno at [redacted] if you have questions or need information about this application. Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits, including: - 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

About Earnest

Earnest is a financial services company that provides student loan refinancing, personal loans, and home loans. They use technology to simplify the lending process and offer competitive rates to their customers. Earnest was founded in 2013 and is headquartered in San Francisco, California. They are committed to helping their customers achieve their financial goals and offer a variety of tools and resources to help them manage their finances.
Learn more about Earnest
Size
200 employees
Industry
Founded
2013

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