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60 Ro Data Scientist Jobs Hiring Near You

Opendoor

Data Scientist

Seattle, WA · On-site

$169K - $233K/yr

Data Scientist, Pricing Location: Hyrbrid 4 onsite, 1 remote Seattle WA. Opendoor is transforming ... RO The pay range for this role is: 169,600 - 233,200 USD per year (US Zone 2)

MSD

Senior Specialist, Data Science

Rahway, NJ · Hybrid

$129K - $203K/yr

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the ...

Kagome Inc.

RO Lab Sensory Assistant

Los Banos, CA · On-site

... panel 10 Data collection and distribution 5 Proper sanitation of area before and after 2 5 ... Some college courses in a science field preferred. Years and Type of Related Experience Required:

1 point system

Marketing Data Analytics

San Francisco, CA · Remote

$88K - $110K/yr

MUST HAVES: 8+ yrs of IT/Engineering 4-yr Degree (Computer Science or Related) 5+ yrs of Data ... RO 3+ yrs of hands on work with Jira/Confluence, SQL, Databricks, Data Mining tools, Tableau ...

KAGOME, Inc.

RO Lab Sensory Assistant

Los Banos, CA · On-site

$19.27/hr

... panel 10 Data collection and distribution 5 Proper sanitation of area before and after 2 5 ... Some college courses in a science field preferred. Years and Type of Related Experience Required:

Pioneer Data

Pharmcology Associate

San Diego, CA · On-site

$16.75 - $22.25/hr

ALAT/ALATg, or BS, MS degree in a life science with minimum 2 years of hands on laboratory ... Proficient in data collection/documentation, either in electronic or hardcopy forms. Highly ...

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Data Scientist

Opendoor

Seattle, WA • On-site

$169K - $233K/yr

Full-time

Re-posted 19 days ago

Job description

About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.
Data Scientist, Pricing
Location: Hyrbrid 4 onsite, 1 remote 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.
  • 8+ years of experience in data science, product analytics, or a similar quantitative role.

#LI-RO
The pay range for this role is:
169,600 - 233,200 USD per year (US Zone 2)

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