Pricing Data Scientist: Scale ML & Impact in Real Estate

Opendoor; Seattle (WA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Opendoor in Seattle seeks a data scientist focused on pricing to help price real estate at scale. You will build pricing metrics, run experiments, and develop predictive models that influence margin, risk, and customer trust.

You will partner with Product, Engineering, and Operations to deploy models, interpret results, and communicate insights to executives. This role blends economics, ML, and product strategy in a fast-paced marketplace.

Qualifications

• Strong statistical reasoning for experimental design and causal inference.
• End-to-end ML ownership from data collection to deployment and monitoring.
• SQL and Python proficient; comfortable with production data pipelines and ML tools.
• Ability to translate analyses into actionable business recommendations.
• Experience tackling ill-defined problems and defining success metrics.

Responsibilities

• Build and maintain pricing metrics, dashboards, and frameworks.
• Run experiments and causal analyses to measure impact and inform decisions.
• Develop predictive and statistical models to improve pricing accuracy.
• Collaborate with Product, Engineering, and Operations to deploy models.
• Deliver insights that inform executive strategy.

Skills

Statistical reasoning

ML ownership

SQL + Python

Communication skills

Data product experience

Tools

Spark

Airflow

Ray

SageMaker

Vertex

Job description

Opendoor in Seattle seeks a data scientist focused on pricing to help price real estate at scale. You will build pricing metrics, run experiments, and develop predictive models that influence margin, risk, and customer trust.

You will partner with Product, Engineering, and Operations to deploy models, interpret results, and communicate insights to executives. This role blends economics, ML, and product strategy in a fast-paced marketplace.