About the job
At Earnest, we empower driven professionals to make informed financial decisions and create the life they aspire to.
Our team is dedicated to helping borrowers progress with assurance by providing intelligent borrowing solutions and a clearer path to managing their debt. If you share our passion for this mission, read on and let's work together to achieve greatness.
The Lead Data Scientist will report directly to the Data Science Manager.
In this role, you will:
- Design and manage comprehensive pricing systems, from experimentation through to production, that significantly influence revenue and unit economics.
- Lead impactful pricing experiments while employing advanced methodologies to uncover the key factors driving conversion, retention, and profitability. Serve as a trusted expert in pricing and demand modeling, shaping strategies across Product, Risk, Finance, and Marketing.
- Steer cross-functional projects from concept to launch, closely collaborating with engineering to implement scalable, real-world solutions.
- Translate complex analyses into clear, persuasive insights that inform leadership decisions.
- Guide and mentor team members, enhancing the standards for experimentation, modeling, and technical excellence.
Your Profile:
- You possess 6+ years of experience in data science, pricing, or quantitative modeling (or an advanced degree with relevant experience), with strong proficiency in Python/R and SQL.
- You have successfully built and deployed pricing or demand models that generate substantial business impact, and you are adept at managing challenges from start to finish.
- You have in-depth knowledge of pricing optimization, elasticity, and econometrics, with the ability to apply causal inference and experimentation in practical scenarios.
- You excel in collaborative environments, effectively influencing stakeholders and translating complex data into actionable insights.
- You take pleasure in mentoring others and elevating team approaches to modeling, experimentation, and decision-making.
Preferred Qualifications:
- Experience in fintech, lending, or financial services with responsibility for pricing models.
- Familiarity with financial metrics, risk-adjusted returns, and capital markets.
- Experience with cloud platforms and modern data tools (e.g., AWS, DBT, Airflow, Looker).
- Exposure to LLMs or NLP applied to financial data.
