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Data jobs in Oregon, United States

5 open roles read nightly from companies’ own hiring pages. Each one links to the original ad.

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  • Senior Data Scientist - Growth

    4 weeks ago

    Mercury · San Francisco, California, United States +3

    RemoteSenior$200.7K – $250.9K a yearData & AI

    Partner with Growth product, design, engineering and marketing leaders to identify the highest-impact business questions, and influence what gets built and why.; Own the growth funnel end to end, from first visit through signup, approval, activation and retention, building the…

  • Senior Analytics Engineer

    4 weeks ago

    Mercury · San Francisco, California, United States +3

    RemoteSenior$166.6K – $208.3K a yearData & AI

    Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations departments; Support the development and adoption of agentic tooling. We have our own AI Data Analyst (Hermes) and dbt…

  • Senior Machine Learning Operations Engineer

    8 weeks ago

    Mercury · San Francisco, California, United States +3

    RemoteSenior$166.6K – $208.3K a yearData & AI

    Build and operate the real-time inference service that scores models for the risk decision engine, with low latency and high availability as first-class requirements; Own model deployment infrastructure: registry and versioning, CI/CD with performance, bias, and consistency…

  • Senior Data Analyst - Reconciliation

    8 weeks ago

    Mercury · San Francisco, California, United States +3

    RemoteSenior$192.3K – $235.1K a yearData & AI

    Mercury is building a complete finance stack for startups. We work hard to create the easiest and safest banking* experience possible to simplify entrepreneurs' and business owners' financial lives.

  • Senior Data Scientist - Risk ML

    2 months ago

    Mercury · San Francisco, California, United States +3

    RemoteSenior$166.6K – $250.9K a yearData & AI

    Build, validate, and deploy machine learning models to identify and prevent fraud in real time; Support the reproducibility and robustness of said models through documentation, testing, and monitoring; Ensure data quality and reliability across pipelines and tools; Collaborate…

Updated 07 Nov 2026 10:21 UTC from the OptiTalent job library.