Find your perfect fit.

Great companies are being built by amazing teams. Come be a part of it.
97
companies
1,147
Jobs
At Menlo Ventures, we invest in companies that will change how we live and work. To do that, they need creative thinkers, problem solvers, builders, and business leaders. They look to Menlo for help building their teams.
Tell us more about your professional DNA to get discovered by the companies we back.

Senior Data Scientist - LATAM

Signifyd

Signifyd

This job is no longer accepting applications

See open jobs at Signifyd.
Data Science
São Paulo, SP, Brazil
Posted on Friday, February 2, 2024

PLEASE APPLY IN ENGLISH

The Data Science team builds production machine learning models that are the core of Signifyd's product.

Our product helps businesses of all sizes minimize their fraud exposure and grow their sales. This translates into improved e-commerce shopping experience for individuals, by reducing the number of orders that are incorrectly declined, and by making account hijacking less profitable for criminals.

The data science team has end-to-end ownership of our decision 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 grow our skills through peer reviews, group studies, and frequent knowledge sharing to deepen our ML and stats understanding. This is done through live demos, write-ups, and special cross-team projects.

The Data Science and Engineering teams 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 strive to iteratively improve our remote culture.

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
  • Writing production and offline analytical code in Python
  • Working with distributed data pipelines
  • Communicating complex ideas effectively to a variety of audiences
  • Collaborate with engineering teams to strengthen our machine-learning platform

Requirements:

  • Bachelor's degree in computer science, applied mathematics, economics, or an analytical field or equivalent practical experience
  • At least 4+ years of experience
  • Building production ML models
  • 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
  • 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.

Bonus points if you have

  • Advanced degree in an analytical field (Master, PHD)
  • Previous work in fraud, risk, payments, or e-commerce
  • Data analysis experience in a distributed environment
  • Passion for writing well-tested production-grade code

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

This job is no longer accepting applications

See open jobs at Signifyd.