Lead Data Scientist

About the role

The Lead Data Scientist will report to the Data Science Manager. The role involves building and owning end-to-end pricing systems, leading high-impact pricing experiments, driving cross-functional initiatives, and mentoring teammates.

Responsibilities

• Build and own end-to-end pricing systems—from experimentation to production—that directly shape revenue and unit economics.
• Lead high-impact pricing experiments and apply advanced methods to uncover what truly drives conversion, retention, and profitability.
• Act as a go-to expert in pricing and demand modeling, influencing strategy across Product, Risk, Finance, and Marketing.
• Dive cross-functional initiatives from idea to launch, partnering closely with engineering to deliver scalable, real-world solutions.
• Turn complex analyses into clear, compelling insights that guide leadership decisions.
• Mentor teammates and help raise the bar on experimentation, modeling, and technical rigor.

Requirements

• 6+ years of experience in data science, pricing, or quantitative modeling (or an advanced degree with relevant experience).
• Strong fluency in Python/R and SQL.
• Built and shipped pricing or demand models that drive real business impact.
• Deep expertise in pricing optimization, elasticity, and econometrics, and knowledge of causal inference and experimentation in real-world settings.
• Thrives in cross-functional environments, influencing partners, and translating complex work into clear, actionable insights.
• Enjoys mentoring others and raising the bar for how teams approach modeling, experimentation, and decision-making.

Qualifications

• Experience in fintech, lending, or financial services with ownership of pricing models.
• Familiarity with financial metrics, risk-adjusted returns, and capital markets.
• Experience working with cloud platforms and modern data tools (e.g., AWS, DBT, Airflow, Looker).
• Exposure to LLMs or NLP applied to pricing or financial use cases.

Skills

• Advanced statistical and machine learning techniques.
• Experience with pricing optimization algorithms.
• Knowledge of econometrics and causal inference.
• Ability to communicate complex ideas clearly and persuasively.
• Experience with data visualization tools.

Benefits

Employees are also eligible for an annual performance-based bonus and equity. Earnest provides 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 (ESPP).
• RSPUs (Restricted Stock Units).
• 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.

Pay

Average base salary range: $180,000 - $225,000 USD. Salary is determined based on job-related qualifications, internal compensation, candidate location, and budget.