Data Scientist

Opendoor Technologies

Toronto, Ontario, Canada
Base salary; opendoor equity; comprehensive benefi...
On-site
Deep statistical reasoning and hypothesis design
End-to-end ml ownership from acquisition to deployment
Strong sql and python proficiency
Opendoor is transforming the residential real estate market using data at massive scale to value homes and manage risk

Job Summary

  • Opendoor is transforming the residential real estate market using data at massive scale to value homes and manage risk.
  • The role involves building predictive models and running experiments to directly influence pricing decisions and company financial performance.
  • Candidates must have 8+ years of experience in data science or a similar quantitative role with proven end-to-end ML ownership.

Matching Summary

Opendoor is transforming the residential real estate market using data at massive scale to value homes and manage risk.

Salary

Base salary; Opendoor equity; Comprehensive benefits including PTO, medical/dental/vision, life insurance, and 401(k)

Skills & Requirements

Must-have

  • Deep statistical reasoning and hypothesis design
  • End-to-end ML ownership from acquisition to deployment
  • Strong SQL and Python proficiency
  • Experience with production data pipelines and ML tooling
  • Ability to translate complex findings into business recommendations

Nice-to-have

  • Experience working with ill-defined problems
  • High data-quality bar and bias analysis discipline
  • Effective communication to non-technical audiences
  • Partnership with Product and Engineering teams
  • Influence on executive strategy and roadmap

Key Requirements

  • 8+ years of experience in data science or product analytics
  • Proficiency in modern ML tooling such as Spark, Airflow, Ray, SageMaker, or Vertex
  • Ability to distinguish signal vs noise in complex datasets

Work Rights

Not specified

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