Data Scientist

This is a fully remote position, open to applicants in California.

📋 Description

• The Data Scientist position at Earnest LLC in Oakland, CA will oversee product recommendations and model development, while effectively communicating analyses and insights to the Data team and the wider organization.

• Develop and sustain predictive machine learning (ML) models to evaluate potential risks and opportunities within Earnest’s lending products, aiding in the enhancement of risk and marketing assessment methodologies.

• Engage in the complete ML pipeline, from data collection to model deployment. This involves collaborating with data and infrastructure engineers to automate training and monitoring through BI tools, as well as writing ETL pipelines to gather data for model training from various sources such as Earnest or Navient data warehouses, production databases, third-party providers, and publicly accessible datasets.

• Perform experimentation and execute causal inference analyses on pricing, marketing, and product models to enhance product conversion rates.

• Write code for inferential models that inform product and underwriting decisions and document modeling choices through Confluence or GitHub Readme files.

• Work closely with cross-functional teams and stakeholders to expedite solution iteration and achieve measurable results.

• Clearly articulate model impacts and analytical insights through presentations and reports, draft recommendations to refine product and underwriting policies, and provide guidance and mentorship on modeling best practices to team peers.

⛳️ Requirements

• Master’s degree in Data Science, Statistics, Business Analytics, or a related field, along with 4 years of experience as a Data Scientist or in a related role.

• Must possess 2 years of experience in each of the following areas: (1) designing and implementing machine learning models, including regression, classification, and forecasting for applications such as 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 facilitate informed decision-making and optimize business processes.

🏝️ 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