Data Scientist II - California, United States - Signifyd

Description

The Data Science team builds production ML models and risk management tools that are the core of Signifyd's product.

We help businesses of all sizes minimize their fraud exposure and grow their sales.

We improve the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals.

The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.

We value collaboration and team ownership no one should feel they're solving a hard problem alone.

Together we help each other develop our skillsets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.

From the beginning of Signifyd, the R&D team has always had a strong contingent of remote folks, both individual contributors and leadership.

The challenges of working remotely aren't new to us and we understand that a healthy remote work culture requires active investment.

How you'll have an impact:
Research emerging fraud patterns in real-time with our Risk Intelligence team

Improve the important components of the Signifyd Commerce Protection Platform

Communicate complex ideas to a variety of audiences, including executives

Build production machine learning models that identify fraud

Write production and offline analytical code in Python

Work with distributed data pipelines

Collaborate with engineering teams to strengthen our machine-learning pipeline


Past experience you'll need:
A degree in computer science or a comparable analytical field

3+ years of post-undergrad work experience required

Experience leading projects

Strong verbal and written communication skills

Strong machine learning and statistical background and a track record of being able to deliver under pressure.

Write code and review others' in a shared codebase in Python

Practical SQL knowledge

Design experiments and collect data

Familiarity with the Linux command line

This role has on-call shifts, as part of our weekend rotation, Fri/Sat/Sun. While the number of shifts is subject to change, currently it works out to about six weekends a year.

Bonus points if you have:
Previous work in fraud, payments, or e-commerce

Data analysis in a distributed environment

Passion for writing well-tested production-grade code

A Master's Degree or PhD

Check out how

Data Science is powering the new era of Ecommerce

Check out our Director of Data Science featured in

Built In

#LI-Remote

Benefits in our US offices:
Discretionary Time Off Policy (Unlimited)

401K Match

Stock Options

Annual Performance Bonus or Commissions

Paid Parental Leave (12 weeks)

On-Demand Therapy for all employees & their dependents

Dedicated learning budget through Learnerbly

Health Insurance

Dental Insurance

Vision Insurance

Flexible Spending Account (FSA)

Short Term and Long Term Disability Insurance

Life Insurance

Company Social Events

Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

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