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Home›Jobs›Opendoor›Data Scientist
Opendoor

About Opendoor

Revolutionizing home buying and selling online

🏢 Tech👥 1001+ employees📅 Founded 2014📍 Financial District, San Francisco, CA💰 $1.5b⭐ 3.9
B2CPropertyMarketplaceReal Estate

Key Highlights

  • Public company since 2021 with $8 billion in revenue
  • Raised $1.5 billion in funding to date
  • Headquartered in San Francisco, CA
  • Over 1,001 employees across multiple U.S. markets

Opendoor is a leading online platform for buying and selling homes, headquartered in the Financial District of San Francisco, CA. The company went public in 2021 and has raised $1.5 billion in funding, boasting a revenue of $8 billion, significantly surpassing its initial projections of $3.5 billion...

🎁 Benefits

Opendoor offers comprehensive benefits including 100% coverage for medical, dental, and vision insurance, a flexible vacation policy with most employe...

🌟 Culture

Opendoor's culture emphasizes efficiency and innovation in the real estate market, making the home selling process easy and stress-free. The company v...

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Opendoor

Data Scientist

Opendoor • Ontario

Posted 3w ago🏛️ On-SiteMid-LevelSeniorData scientist📍 Ontario
Apply Now →

Skills & Technologies

PythonSQLMachine learningStatistical analysis

Overview

Opendoor is seeking a Data Scientist to drive pricing strategies in residential real estate. You'll leverage data to build predictive models and influence key business decisions. This role requires expertise in Python, SQL, and machine learning.

Job Description

Who you are

You have a strong background in data science with experience in building and maintaining pricing metrics and frameworks. Your expertise in statistical reasoning allows you to design experiments and causal analyses that measure impact and drive decisions. You are proficient in Python and SQL, and you have a solid understanding of machine learning techniques that improve pricing accuracy. You thrive in collaborative environments, partnering closely with Product, Engineering, and Operations teams to influence the pricing roadmap and model deployment. You are comfortable tackling ambiguity and shaping strategic insights that inform executive decisions.

Desirable

Experience in the residential real estate market is a plus, as is familiarity with causal inference and hypothesis design. You have a knack for storytelling with data, delivering insights that resonate with stakeholders at all levels. You are eager to learn and adapt, continuously seeking to improve your skills and contribute to the team's success.

What you'll do

In this role, you will be a core driver of how Opendoor prices real estate at scale. You will build and maintain pricing metrics, dashboards, and frameworks that inform business decisions. Running experiments and conducting causal analyses will be key to measuring impact and driving decisions. You will develop predictive and statistical models that enhance pricing accuracy, directly influencing how millions of dollars of housing inventory are evaluated. Your insights will shape outcomes for customers and the overall health of the marketplace. You will collaborate with cross-functional teams to ensure that your models are effectively deployed and utilized in the pricing strategy. You will also deliver insights and narratives that inform executive strategy, helping to guide the company's direction in a complex market.

What we offer

At Opendoor, we are transforming the residential real estate market, and you will play a vital role in this mission. We offer a collaborative work environment where your contributions will have a direct impact on our success. You will have the opportunity to work with a talented team of professionals who are passionate about leveraging data to drive business outcomes. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in building the modern system of homeownership, giving people the freedom to buy and sell on their own terms.

Interested in this role?

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