Data Scientist

Reposted Yesterday
San Francisco, CA
Hybrid
170K-213K Annually
Mid level
eCommerce • Fintech • Real Estate • Software • PropTech
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The Role
As a Data Scientist at Opendoor, you will build pricing models and frameworks, run experiments, and collaborate with teams to enhance pricing accuracy and business strategy.
Summary Generated by Built In

Data Scientist, Pricing

Location: In office 4 days a week; San Francisco CA or Seattle WA.


Opendoor 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 Opendoor 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

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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. 

Opendoor Values Openness

We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor 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 Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise.

At Opendoor, 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 [email protected].

Top Skills

Airflow
Python
Ray
Sagemaker
Spark
SQL
Vertex

What the Team is Saying

Daniel
Maggie
Sherry
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The Company
HQ: San Francisco, CA
1,600 Employees
Year Founded: 2014

What We Do

Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and confusing. It often comes with unexpected costs, the added burden of coordinating multiple third parties and the uncertainty of a transaction falling through. Our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds and talents across engineering, operations, design, operations, mortgage, finance, legal, and more to deliver strong results. More than 85,000 customers have selected us as a trusted partner in handling one of their largest financial transactions.

Why Work With Us

We’re on a mission to power life’s progress one move at a time

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Opendoor Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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