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    Staff Data Scientist - San Francisco, United States - Cypress HCM

    Cypress HCM background
    Description

    Job Description

    Job Description
    Staff Data ScientistResponsibilities:
    • Spearhead the evolution of key algorithms, overseeing every phase from data gathering and feature creation to model training, deployment, and ongoing evaluation.
    • Investigate emerging fraud trends and spearhead the creation of innovative products focused on identity verification.
    • Lay the groundwork for advanced models that enhance our company
    • Drive progress through rigorous research, iterative development, integration of fresh data sources, and creative feature crafting.
    • Develop robust, production-grade code that supports real-time decision-making processes for our partners.
    • Conduct and present comprehensive analyses to guide decisions related to data collection, product enhancement, risk management, marketing, and sales initiatives.
    • Collaborate with engineering, risk management, and data procurement teams to secure data access, uphold data integrity, and facilitate data utilization.
    Required Skills:
    • At least 6 years of relevant experience coupled with a relevant Ph.D., or 8 years with a relevant Master's degree.
    • A demonstrated history of addressing significant or high-stakes business challenges using data science and machine learning solutions.
    • Proficient in communicating complex findings and progress updates to executive teams and key stakeholders.
    • Expertise in the complete lifecycle of data science projects, including planning, defining success metrics, securing stakeholder agreement, developing and implementing solutions.
    • Strong practical knowledge in machine learning and statistics, capable of applying standard methodologies effectively, with bonus points for experience with state-of-the-art solutions.
    • A keen interest in gaining in-depth knowledge in the domain, particularly in fraud detection, with an openness to learn.
    • Experience in writing production-level code, including testing.
    • A meticulous and reliable individual capable of making impactful business decisions.
    • Ability to excel in a dynamic environment, tackling diverse, high-stakes, and open-ended challenges.
    Compensation:
    • $200,000 - $235,000 base salary + equity + benefits

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