Cypress HCM

Advanced Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Advanced Analyst with 5+ years in analytics, focusing on fraud detection in the Fraud & Safety Organization. Contract length is unspecified, with a pay rate of $76.12 – 82.76/hr W-2. Key skills include SQL, Python, and machine learning expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
656
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🗓️ - Date
February 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Strategy #Data Modeling #Scala #Python #ML (Machine Learning) #SQL (Structured Query Language) #Data Science
Role description
Description • The Team: • We’re hiring a data scientist/advanced analyst within the Fraud & Safety Organization (FSO) to support Product, Operations, and Policy leaders. The FSO Advanced Analytics team drives data-informed decision-making to protect trust across the platform by embedding measurement, experimentation, and insights into product defenses and user journeys. • You’ll partner with product managers, engineers, data scientists, and operations teams to design scalable systems that detect and mitigate fraud across domains. You’ll shape trusted user journeys across pre-trip, on-trip, and post-trip experiences, build compelling data narratives, and strengthen measurement and experimentation practices using our rich data and ML infrastructure. • What You’ll Do: • Lead data-driven product strategy for the FSO Defense Platform • Build insights and reporting to detect and mitigate fraud at scale • Define and evaluate metrics, including ML model performance • Influence experimentation, causal inference, and measurement strategy • Drive decision-making through reviews, scorecards, OKRs, and planning • Building insightful dashboards for the stakeholders Requirements • 5+ years in analytics; advanced degree in a quantitative field preferred • Expert in SQL and Python • Strong in experimentation design and power analysis • Solid understanding of the machine learning models and evaluation performance • Familiar with ETL frameworks and large-scale data modeling • Comfortable operating in ambiguity and driving solutions end-to-end • Experience in Trust & Safety is a plus Compensation • $76.12 – 82.76/hr W—2 Req ID • 36869216