The Data Science team at Signifyd builds the models that power our fraud detection engine. Our machine learning pipeline keeps us one step ahead of fraudsters and their constantly evolving tactics and our research and experiments develop into new products that improve the merchant payments experience.

We expect our data scientists to be hands-on.  We carry solutions from a brainstorm to experimentation and all the way to deployment. We’re a varied group with a diversity of strengths -- some team members came to us from academic backgrounds, others from engineering, some from big companies and some from small, but all of us are curious and collaborative.

We are looking for someone who embodies our company values:

Curious and Hungry:  Be willing to do research and design experiments by being hands-on

Tenacious: Creating something new is hard work, and our Data Scientist team never gives up

Customer Passion: Be the backbone to our platform, and help us stay ahead of fraudsters

Design for Scale: Work with the rest of the Data Science team to make fraud protection at scale possible

Agile: Some days you may spend doing research and designing experiments while others are spent using your analytical toolbox to surface insights into real-time fraud attacks.

Roll Up Your Sleeves: Partner closely internally to learn from others, and succeed as a team

How you’ll have an impact:

  • 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

Past experience you’ll need:

  • Bachelor's degree in computer science, applied mathematics, or an analytical field
  • An advanced degree (M.S. or Ph.D) in computer science, applied mathematics, or an analytical field is highly preferred
  • 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
  • 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.

Experience we love to see:

  • Data analysis in a distributed environment
  • Passion for writing well-tested production-grade code
  • Using visualizations to communicate analytical results to stakeholders outside your team
  • Previous work in fraud, payments, or e-commerce

#LI-Remote

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)
When autocomplete results are available use up and down arrows to review
+ Add another education


Signifyd LATAM Candidate Demographic Questions

Signifyd is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive, safe environment for all candidates and employees. Candidate demographic data in the aggregate provides a wealth of information that we can use to assess progress against our diversity and inclusion goals and identify areas we can do better. By answering these demographic questions, you are helping Signifyd become a more inclusive place for all of us to do our best work!

What is your gender? (Select one) *





Are you White, Black or African-American, American Indian or Alaskan Native, Asian, Native Hawaiian or other Pacific Islander, or some other race? (Select one) *









What is your highest level of school you have completed or the highest degree you have received? (Select one) *






Which of the following categories best describes your employment status? (Select one) *









Do you consider yourself to have a disability? (Select one) *




Our system has flagged this application as potentially being associated with bot traffic. Please turn off any VPNs, clear your browser cache and cookies, or try submitting your application in a different browser. If this issue persists, please reach out to our support team via our help center.
Please complete the reCAPTCHA above.