Applied Scientist

Opendoor Technologies

Toronto, Canada
Pyy varies by location + qualifications; benefits:...
On-site
Strong python coding skills
Experience with structural modeling
Causal inference or bayesian modeling
This role focuses on solving hard quantitative problems involving structural modeling, econometrics, and optimization to drive pricing and risk decisions

Job Summary

  • This role focuses on solving hard quantitative problems involving structural modeling, econometrics, and optimization to drive pricing and risk decisions.
  • Candidates must combine strong modeling intuition with hands-on engineering to build practical solutions for a low-margin, high-stakes business.
  • The company offers a comprehensive benefits package including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) eligibility.

Matching Summary

This role focuses on solving hard quantitative problems involving structural modeling, econometrics, and optimization to drive pricing and risk decisions.

Salary

Pay varies by location and qualifications; Benefits: Unlimited PTO, medical/dental/vision, life insurance, 401(k)

Skills & Requirements

Must-have

  • Strong Python coding skills
  • Experience with structural modeling
  • Causal inference or Bayesian modeling
  • Advanced degree in quantitative field
  • Production-quality scientific code implementation

Nice-to-have

  • Experience with LLMs or VLMs
  • Background in real estate or housing
  • Familiarity with distributed data processing
  • Pricing science or revenue management experience
  • Deep learning complementing statistical modeling

Key Requirements

  • MS or PhD preferred in statistics, mathematics, economics, OR, or CS
  • Advanced degree required in quantitative discipline

Work Rights

Not specified

Tailored Resume

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