Senior Data Scientist – Fraud Detection & Investigations

DataVisor; Mountain View (CA); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

PTO

Stock Options

Health Benefits

Job summary

DataVisor is seeking a Senior Data Scientist to join the Fraud Detection team. You will build production ML models and lead investigations into fraud cases, turning case findings into trend reports and detection improvements.

This dual-track role develops end-to-end fraud detection features, performs advanced feature engineering, and generates customer-ready reports, collaborating with product, engineering, and operations in a fast-paced, data-driven environment.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of applied experience in fraud detection, cybersecurity, or a related adversarial/high-velocity risk domain.
• Solid understanding of classic machine learning models (Logistic Regression, Gradient Boosting, etc.).
• Hands-on experience with the machine learning lifecycle in a production environment.
• Investigator mindset: demonstrated skill in pattern synthesis, hypothesis testing, and triaging signal from noise in ambiguous, adversarial cases.
• Strong programming skills in Python and proficiency with SQL; PySpark experience is a significant plus.
• Experience with large-scale data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
• Excellent communication skills to explain complex, ambiguous, or technical behavior clearly to both technical and non-technical audiences.
• Professional proficiency in written and spoken English, with the ability to collaborate effectively in a global, cross-functional team.

Responsibilities

• End-to-End Model Development: Lead the full lifecycle of fraud detection features and models, from ideation and data exploration to prototyping, productionizing, and monitoring.
• Advanced Feature Engineering: Develop highly predictive features from complex, large-scale, multi-dimensional data.
• Large-Scale Data Processing: Work with massive, noisy datasets using Spark, SQL, and our AI platform.
• Agentic AI & Automation: Leverage agentic AI to automate analytic pipelines and develop reusable skill tools.
• Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces.
• Reconstruct attacker sequences and hypothesize actor intent and tooling.
• Produce clear, evidence-backed technical reports and case studies for stakeholders.
• Generate fraud trend reports for customers, turning findings into actionable narratives.

Skills

Python

SQL

Pattern synthesis

Communication

English proficiency

Education

Master's or PhD in CS/Statistics/Math

3+ years fraud detection/risk domain

Tools

PySpark

Spark

Hadoop

AWS

GCP

Azure

Job description

DataVisor is seeking a Senior Data Scientist to join the Fraud Detection team. You will build production ML models and lead investigations into fraud cases, turning case findings into trend reports and detection improvements.

This dual-track role develops end-to-end fraud detection features, performs advanced feature engineering, and generates customer-ready reports, collaborating with product, engineering, and operations in a fast-paced, data-driven environment.