Parafin

Data Scientist, Underwriting

Parafin

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaUnited States

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Salary

💰 $190,000 - $230,000 per year

About the role

  • Design, train, and deploy production underwriting models
  • Design experiments and metrics to drive risk and pricing decisions
  • Partner with engineering and product teams to architect automated underwriting systems
  • Identify business opportunities to improve growth and profitability via improvements to our underwriting posture

Requirements

  • Statistical Reasoning
  • Approach data analysis with a critical, intellectually honest eye
  • Design concise metrics that guide decision making
  • Employ robust experimental design and causal inference methods
  • Develop valid and predictive machine learning models
  • Business Acumen
  • Identify and effectively prioritize business problems
  • Solve business problems using appropriate data science techniques
  • Anticipate the impact of your work on our financial performance, customers, and compliance obligations
  • Engineering Mindset
  • Write legible, reliable, and tested code
  • Build or source tools to boost the team’s efficiency
  • Architect technical systems that are highly scalable, reliable, and observable
  • Leadership and Collaboration
  • Model Parafin’s values of efficiency, intellectual honesty, accountability, and empathy
  • Build trusted relationships with stakeholders
  • Document work, seek feedback, and share learnings proactively
  • Focused Execution
  • Prioritize high-impact use of your time
  • Scope projects rigorously
  • Act with urgency
Benefits
  • Equity grant
  • Medical, dental & vision insurance
  • Work from home flexibility
  • Unlimited PTO
  • Commuter benefits
  • Free lunches
  • Paid parental leave
  • 401(k)
  • Employee assistance program
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
statistical reasoningdata analysisexperimental designcausal inferencemachine learningdata science techniquesscalable systems architecturereliable codepredictive modelingmetrics design
Soft Skills
business acumenproblem prioritizationleadershipcollaborationintellectual honestyaccountabilityempathyrelationship buildingfeedback seekingfocused execution