

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 within the Fraud & Safety Organization. Contract length is unspecified, pay rate is $74.81 – 82.76/hr, and requires expertise in SQL, Python, and machine learning.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
656
-
🗓️ - Date
March 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
California, United States
-
🧠 - Skills detailed
#Scala #Strategy #Data Science #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Data Modeling #Python #SQL (Structured Query Language)
Role description
Advanced Analyst, 37100105
Description
• 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.
Duties
• 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
• Organize and give direction to people and teams for highly visible and critical programs within Trust, running standups, keeping team updates, Determine and define project scope and objectives, determine resources needed, track progress, communicate progress, Develop and manage a detailed project schedule and work plan, monitor and report risks etc.
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
• $74.81 – 82.76/hr W—2
Req ID
• 37100105
Advanced Analyst, 37100105
Description
• 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.
Duties
• 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
• Organize and give direction to people and teams for highly visible and critical programs within Trust, running standups, keeping team updates, Determine and define project scope and objectives, determine resources needed, track progress, communicate progress, Develop and manage a detailed project schedule and work plan, monitor and report risks etc.
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
• $74.81 – 82.76/hr W—2
Req ID
• 37100105





