Senior Data Scientist I - (SAUSE Team)

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
• 4+ 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

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(Colorado and New York City only*) Minimum salary of $140,000+ bonus + equity + benefits. Our salaries are determined by role, level, and location. The salary minimum displayed on each job posting reflects the minimum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Benefits in our US offices:

• 4-day workweek
• Discretionary Time Off Policy (Unlimited!)
• Mental wellbeing resources
• 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