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    OscilarTech · 200+BeachScore 78%

    Staff Data Scientist

    DataStaffFull-timePosted 2mo ago
    Apply on Oscilar

    Salary

    $210k–$250k

    Posted on the listing

    Location

    Work from anywhere

    Company policy, verified by Jeff

    Time zone

    Not specified on the listing

    Posted

    Aug 28, 2026

    Verified Nov 3, 2026 by Jeff

    From the listing

    About the role

    At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI.

    As a Data Scientist at Oscilar, you will be responsible for developing and implementing advanced fraud detection models to protect our customers’ business from fraudulent activities. As an early member in the ML team you will have great impact in building out our ML stack.

    What you'll do

    • Develop and implement advanced fraud detection models, leveraging machine learning and statistical techniques.
    • Collaborate with cross-functional teams to design and implement fraud detection systems and processes.
    • Analyze large volumes of data to identify patterns, trends, and anomalies indicative of fraudulent behavior.
    • Evaluate the performance of existing fraud detection models and systems, and continuously optimize and update them.
    • Stay up-to-date with the latest trends and advancements in fraud detection, data science, and machine learning.
    • Communicate complex data analysis and model performance results to technical and non-technical stakeholders.
    • Ensure data privacy and security compliance in all aspects of fraud detection and data analysis.

    What they're looking for

    • 5+ years of experience in data science, machine learning, or a related field, with a focus on fraud prevention and/or anti-money laundering.
    • Proficiency in Python.
    • Strong knowledge of machine learning algorithms and statistical techniques applied to fraud detection.
    • Experience working with large datasets using distributed systems like Apache Spark and Dask.
    • Experience handling data cleaning, data quality, and feature engineering at scale.
    • Excellent analytical and problem-solving skills.
    • Ability to work independently and collaboratively in a fast-paced startup environment.

    Nice to have

    • Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps.
    • Experience in the fintech, marketplaces, or financial services industry.
    • Knowledge of current fraud tactics and trends.
    • Experience with fraud detection tools and systems.

    From the company page

    Oscilar benefits

    Work from anywhereComprehensive benefitsUnlimited vacationEquity in companyWorkspace stipend

    ◉ Remote policy · in their words

    “Remote-first culture — work from anywhere with unlimited PTO.”

    Pulled from their careers page · verified by Atlas

    The hot takeJeff's read on Oscilar

    They clearly state "work from anywhere" twice on their careers pages, their open opportunities that allow you to work from anywhere are clearly marked, and they have strong Glassdoor reviews (albeit a small sample). What I would LOVE to see is a careers page that talks more about why someone should apply to work with the company and less about themselves. Companies need to remember that they aren't selling their product or values, they are selling you on why you should work there.

    Full read on the company page

    Pulled from Oscilar on Nov 3, 2026. Listings change; the company's page is the source of truth.

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