Data Scientist

5 Minutes ago • All levels • $170,400 PA - $213,000 PA
Data Analysis

Job Description

This role is for a mid to senior level Data Scientist at Opendoor, focusing on pricing real estate at scale. The position involves operating at the intersection of economics, machine learning, experimentation, and product strategy. Responsibilities include tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially impact the business. Insights generated will influence the valuation of millions of dollars of housing inventory, directly shaping outcomes for customers, the balance sheet, and marketplace health. The work is highly leveraged, impacting conversion, margins, customer trust, and financial performance.
Must Have:
  • Build and maintain pricing metrics, dashboards, and frameworks.
  • Run experiments and causal analyses to measure impact and drive decisions.
  • Develop predictive + statistical models that improve pricing accuracy.
  • Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
  • Deliver insights and narratives that inform executive strategy.
  • Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
  • Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
  • High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
Perks:
  • RSUs
  • Bonus
  • ESPP
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Life insurance
  • Unlimited PTO
  • 401K

Add these skills to join the top 1% applicants for this job

team-management
cross-functional
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spark
model-deployment
python
sql
machine-learning

is transforming one of the largest, most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.

We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy — tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.

What You’ll Do

  • Build and maintain pricing metrics, dashboards, and frameworks.
  • Run experiments and causal analyses to measure impact and drive decisions.
  • Develop predictive + statistical models that improve pricing accuracy.
  • Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
  • Deliver insights and narratives that inform executive strategy.

Skills & Qualifications

  • Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
  • Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
  • Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
  • Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
  • Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
  • High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
  • Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.

Base salary range for this role varies. Generally, the base salary range is $170,400 – $213,000 annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).

JR 9200

#LI-KC1

About us…. Powering life’s progress, one move at a time

Since 2014, we’ve been reinventing life’s most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain.

We’re a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it’s starting a family, taking a new job, or making a life change, we help people move forward with confidence.

This work isn’t easy, and it’s not for everyone. But if you want to be part of a team that’s tilting the world in favor of people who want to sell, buy, or own a home then you’ll find purpose here.

Values Openness

We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here

and for Canada residents here

.

We are committed to assisting members of the military community in utilizing their skills at. U.S. candidates are able to review your military job classification at MyNextMove.org

and apply for positions that align with your expertise.

At, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at TAops-accomodations@opendoor.com.

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