Data Scientist II at Signifyd

Sao Paulo, Sao Paulo, Brazil

Signifyd Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
FinTech, E-commerceIndustries

Requirements

  • Bachelor’s degree in computer science, applied mathematics, economics, or an analytical field
  • An advanced degree (M.S. or Ph.D) in an analytical field is a plus
  • At least 3+ years of experience
  • Hands-on statistical analysis with a solid fundamental understanding
  • Designing experiments and collecting data
  • Writing code and reviewing others’ in a shared codebase, preferably in Python and Java
  • Practical SQL knowledge
  • Familiarity with the Linux command line
  • Fluent in English

Responsibilities

  • Building production machine learning models that identify fraud
  • Designing new algorithms that optimize all the key components of the Signifyd Commerce Protection Platform
  • Writing production and offline analytical code in Python and Java
  • Researching real-time emerging fraud patterns with the Risk Analysis team
  • Working with distributed data pipelines
  • Communicating complex ideas effectively to a variety of audiences
  • Collaborating with engineering teams to continuously strengthen our machine learning pipeline
  • Mentoring other members of the team

Skills

Python
Java
SQL
Linux
Machine Learning
Statistical Analysis
Experiment Design
Distributed Data Pipelines
Production Code

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

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Flexible Spending Account/Flexible Spending Account
Unlimited Paid Time Off
401(k) Company Match
Stock Options
Annual Performance Bonus
Paid Parental Leave
On-Demand Therapy for all employees & their dependents
Dedicated learning budget through Learnerbly
Company Social Events

Risks

Rise of 'friendly fraud' challenges Signifyd's financial guarantee model.
'Buy now, pay later' services introduce new fraud types that may evade current detection.
Flexible return policies in Europe could increase return fraud, straining existing strategies.

Differentiation

Signifyd offers a financial guarantee on approved transactions, covering potential fraud costs.
The company uses advanced AI and machine learning for real-time fraud detection.
Signifyd's global reach allows it to serve a diverse range of e-commerce clients.

Upsides

Partnership with Adobe Commerce enhances transaction intelligence and fraud protection capabilities.
$100 million Series D funding supports European market expansion and operational scaling.
Integration with Celerant shifts liability, attracting retailers seeking comprehensive fraud solutions.

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