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Lead Data Scientist

Remote / Online - Candidates ideally in
San Diego, San Diego County, California, 92189, USA
Listing for: Socket.dev
Remote/Work from Home position
Listed on 2026-08-03
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 180000 - 225000 USD Yearly USD 180000.00 225000.00 YEAR
Job Description & How to Apply Below


* Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision.*

* Earnies are committed to helping borrowers move forward with confidence by offering smarter borrowing options with a clearer path to taking control of their debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together.*

The Lead Data Scientist will report to the Data Science Manager.

As the Lead Data Scientist, you will:

  • 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.
  • Drive 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.

About You:

  • You bring 6+ years of experience in data science, pricing, or quantitative modeling (or an advanced degree with relevant experience), with strong fluency in Python/R and SQL.
  • You’ve built and shipped pricing or demand models that drive real business impact, and you’re comfortable owning problems end-to-end.
  • You have deep expertise in pricing optimization, elasticity, and econometrics, and know how to apply causal inference and experimentation in real-world settings.
  • You thrive in cross-functional environments, influencing partners and translating complex work into clear, actionable insights.
  • You enjoy mentoring others and raising the bar for how teams approach modeling, experimentation, and decision-making.

Even Better:

  • 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.

Compensation:

A little about our pay philosophy:
We take pride in compensating our employees fairly and equitably. We are showcasing a range of your potential base salary based on the roles location. The successful candidate’s starting pay will also be determined based on job-related qualifications, internal compensation, candidate location and budget. This range may be modified in the future.

Salary Range: $180,000 - $225,000
USD.
Employees are also eligible for an annual performance-based bonus and equity.

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

What Makes an Earnie:

At Earnest, our people bring our cultural principles to life. These principles define how we work, how we win, and what we expect of ourselves and each other:

  • Every Second Counts
    :
    Speed is our competitive advantage. Our customers need better solutions, and the faster we execute, the greater our chance of success.
  • Choose To Do Hard Things
    :
    We win by tackling the hard things that others avoid, fueled by grit and resilience.
  • Pursue Excellence
    :
    Great companies, teams, and individuals never settle and are proud of the work that they do. What’s good enough today won’t be good enough tomorrow. Excellence isn’t a destination; it’s a mindset of continuous improvement.
  • Lead Together
    :
    Our success comes from how we work together. Leadership is not about titles—it is about action. We take ownership, drive results, and move…
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