Data Scientist II

Signifyd

We switched to a 4 day work week in January 2022 (32hrs / week)

Only considering candidates who are eligible to work in the USA ⚠️

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.

Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

USA Base Salary Pay Range

$115,000—$135,000 USD

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Signifydsignifyd.com

Optimize Revenue + Automate Orders + Eliminate Fraud

Working Week

We switched to a 4 day work week in January 2022 (32hrs / week)

  • Mon
  • Tue
  • Wed
  • Thu
  • 🏖️
    Fri

Our Vacation Policy

Our vacation policy varies by location e.g. in the USA we offer Discretionary Time Off Policy (unlimited) and in the UK we offer 20 days PTO plus public holidays. For the UK this works out as:

  • 28 days
  • 52 Fridays
  • 80 days off per year

Remote Working Policy

We have offices in San Jose, New York, Denver, Belfast, London, Sao Paulo and Mexico City. Many of us also work 100% remotely.

Company Benefits

  • Health insurance
  • 401K Match
  • Flexible working hours
  • Generous parental leave
  • Dentalcare
  • Equity / options
  • Equipment allowance

Our Team

We're a team of 560 across 19 departments:

  • engineering
    133
  • data science
    54
  • sales
    51
  • support
    43
  • marketing
    25
  • business development
    23
  • operations
    21
  • human resources
    14
  • finance
    14
  • product management
    13
  • +9 more teams

Desirable Skills and Experience

  • Python
  • SQL
  • Machine Learning
  • Statistical Analysis
  • Project Leadership
  • Communication Skills
  • Data Collection and Experiment Design
  • Linux Command Line

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