Job description
The Data Science team builds production machine learning models that are the core of Signifyd’s product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks’ orders that are incorrectly declined and by making account hijacking 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 skills 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.
The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren’t new to us and we have experienced iterative improvements to our remote culture.
How you’ll have an impact:
- Be directly responsible for the performance of enterprise merchants with household names.
- Research real-time new fraud patterns 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
- 5+ 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
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 the USA:
- Discretionary Time Off Policy (Unlimited!)
- Talkspace Online Therapy Membership
- Dedicated learning budget through Learnerbly
- 401K Match
- Stock Options
- Annual Performance Bonus or Commissions
- Paid Parental Leave (12 weeks)
- Health Insurance
- Dental Insurance
- Vision Insurance
- Flexible Spending Account (FSA)
- Short Term and Long Term Disability Insurance
- Life Insurance
- Company Social Events
- Signifyd Swag
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
$140,000—$160,000 USD
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