Senior Data Scientist

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, Fraud Prevention, Risk IntelligenceIndustries

Requirements

Candidates must possess a degree in computer science or a comparable analytical field, with at least 5 years of post-undergraduate work experience and proven project leadership experience. Strong verbal and written communication skills, a robust background in machine learning and statistics, and a demonstrated ability to deliver results under pressure are essential. Proficiency in writing and reviewing Python code within a shared codebase, practical SQL knowledge, experience designing experiments and collecting data, and familiarity with the Linux command line are also required. Bonus points are awarded for previous experience in fraud, payments, or e-commerce, data analysis in a distributed environment, a passion for writing well-tested production-grade code, and a Master's Degree or PhD.

Responsibilities

The Senior Data Scientist will be responsible for the performance of enterprise merchants, researching new fraud patterns with the Risk Intelligence team, and improving key components of the Signifyd Commerce Protection Platform. They will communicate complex ideas to diverse audiences, including executives, build production machine learning models to identify fraud, write production and offline analytical code in Python, work with distributed data pipelines, and collaborate with engineering teams to enhance the machine-learning pipeline.

Skills

Machine Learning

Python

Data Pipelines

Statistical Analysis

Fraud Detection

Risk Management

Communication

Project Leadership

Signifyd

Fraud protection for online retailers

About Signifyd

Signifyd specializes in fraud protection for online retailers, helping them detect and prevent fraudulent activities. The company provides a platform that uses machine learning and artificial intelligence to analyze transactions in real-time, identifying potential fraud. This service allows retailers to reduce chargebacks and approve more legitimate orders, ultimately increasing their revenue. Signifyd differentiates itself by offering a financial guarantee on approved transactions, meaning they will cover costs if a transaction they approve is later found to be fraudulent. This added security builds trust with clients. Operating globally, Signifyd ensures transparency with real-time data on system performance, allowing retailers to focus on their core business without the constant worry of fraud.

Palo Alto, CaliforniaHeadquarters

2011Year Founded

$399.8MTotal Funding

SERIES_ECompany Stage

Cybersecurity, AI & Machine LearningIndustries

501-1,000Employees