Lead Data Scientist

1 month, 1 week ago
Full-time
Lead
Data Science and Analytics
Puck

Puck

Puck helps great teams find great teammates through employer branding, conversations, and authentic candidate engagement, using personalized automation to enhance the candidate experience and improve hiring metrics.

Internet Software & Services
1-10
Founded 2020

Description

  • Build and own end-to-end pricing systems from experimentation through production.
  • Lead high-impact pricing experiments and analyze drivers of conversion, retention, and profitability.
  • Serve as a go-to expert in pricing and demand modeling and influence strategy across Product, Risk, Finance, and Marketing.
  • Drive cross-functional initiatives from idea to launch in partnership with engineering.
  • Translate complex analyses into clear insights that support leadership decisions.
  • Mentor teammates and raise the bar on experimentation, modeling, and technical rigor.
  • Develop scalable, real-world solutions for pricing-related problems.

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.
  • Experience building and shipping pricing or demand models with measurable business impact.
  • Deep expertise in pricing optimization, elasticity, and econometrics.
  • Experience applying causal inference and experimentation in real-world settings.
  • Ability to work effectively in cross-functional environments and influence partners.
  • Strong communication skills for translating complex work into actionable insights.
  • Mentoring experience and a track record of improving modeling and experimentation practices.
  • Experience in fintech, lending, or financial services with ownership of pricing models (preferred).
  • Familiarity with financial metrics, risk-adjusted returns, and capital markets (preferred).
  • Experience with cloud platforms and modern data tools such as AWS, DBT, Airflow, or Looker (preferred).
  • Exposure to LLMs or NLP applied to pricing or financial use cases (preferred).

Benefits

  • Base salary range of $180,000 to $225,000 USD.
  • Health, dental, and vision benefits plus savings plans.
  • Mac computers and a work-from-home stipend for your home office.
  • Monthly internet and phone reimbursement.
  • Employee Stock Purchase Plan and Restricted Stock Units (RSUs).
  • 401(k) plan with company match.
  • Robust tuition reimbursement program.
  • $1,000 travel perk on each Earnie-versary.
  • Competitive days of annual PTO.
  • Competitive parental leave.

Interested in this position?

Apply directly on the company website

Apply Now

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