Data Scientist, Opendoor
CA$135-199k
+ RSUs + Bonus
4+ days a week in office
End-to-end online platform for selling and buying homes
Job no longer available
End-to-end online platform for selling and buying homes
1001+ employees
Job no longer available
CA$135-199k
+ RSUs + Bonus
4+ days a week in office
1001+ employees
Company mission
To power life's progress one move at a time.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Opendoor makes selling homes easy and stress-free by cutting out the prolonged processing time usually involved with a sale. Sellers can offload a house quickly and easily to the company for cash and a 6-9% fee. Currently operating in a growing number of markets nationwide, Opendoor has chimed well with millennials who gel quickly with online businesses that offer solutions to problems they encounter.
This buying and selling model doesn't come without risk. The longer Opendoor keeps a property, the lower its profit margin. However, Opendoor's performance has been anything but disappointing; it went public in 2021, with its pre-SPAC merger presentation calling for $3.5 billion in revenue. Its actual revenue trounced it, coming in at $8 billion - more than double its estimate.
Opendoor's largest competitor, Zillow, dropped out of the space in late 2021 because it struggled to price the homes it acquired accurately. Opendoor's closest remaining competitor is Offerpad, which does just a fraction of the transaction volume that Opendoor does. With strong earnings coming out of 2024, OpenDoor is looking at transforming its operations in 2026, with new management, a volume-driven strategy and an acquisition spree expected. If Opendoor can continue to ride on its long-term success, it will have an enormous lead on existing and future competitors, positioning it to securely become the overwhelming market leader.
Steph
Company Specialist at Welcome to the Jungle
Insights
-19% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Mar 2019
$300m
SERIES F
Sep 2018
$400m
SERIES F
Total funding: $1.5bn
Company benefits
- Save for tomorrow: Select our Pre-tax or Roth 401k plans to save towards retirement
- Healthy healthcare: Medical, dental and vision is 100% covered for employees
- Family planning: We offer specialty programs like Carrot, Cleo & Ginger
- Flexible vacation: Most of our team take at least 20 days off per year to decompress and be their best
- Resource groups: Join the group that works for you
- Income protection: 100% company sponsored: life insurance short term and long term disability
- Other: Flexible spending account, commuter benefit, employee assistance programs, and paid parental leave
Company HQ
Financial District, San Francisco, CA
Leadership
Kaz Nejatian
(CEO)Previously COO and VP of Product at Shopify, Lead Product Manager at Facebook and CEO & Co-Founder at Kash.
Salary benchmarks
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