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Data Science Manager – Brazil

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Brazil • São Paulo

Signifyd leads the world in bringing the insights, innovation and compassion required to foster fearless commerce in a time of increasing digital threats. Working with some of the industry’s most recognizable retailers and brands, we are focused on using technology to enhance customer lifetime value and protect enterprises from fraud so they can focus on growing their business. 

We process billions in ecommerce transactions annually through our Commerce Network of thousands of merchants selling in more than 100 countries. We focus every day on harnessing machine learning and artificial intelligence in more powerful ways to maximize our customers’ revenue and their security. None of that happens without the right people.

Our team’s strength is in its diversity and its acceptance of new ideas and new ways to look at old challenges. We are dedicated disruptors designing a new world of commerce at scale. We know humans are not one-dimensional and we celebrate the uniqueness each individual brings to the problems we solve and the culture we create.

How you’ll have an impact:

  • Leading a team of Data Scientists in LATAM and helping them set goals, collaborate, and scale 
  • Providing mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
  • Partnering with senior leaders including Product & Engineering to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
  • Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
  • Collaborating with engineering teams to continuously strengthen our machine learning pipeline
  • Researching real-time emerging fraud patterns with our Risk Intelligence team
  • Building production machine learning models that identify fraud
  • Writing production and offline analytical code in Python 
  • Working with distributed data pipelines

Past experience you’ll need:

  • A degree in computer science or a comparable analytical field
  • 2+ years of experience in people management with experience building teams and growing talent
  • At least 4 years of post-undergrad work experience required
  • Experience leading projects that depend on the contributions of others in multiple teams
  • Using visualizations to communicate analytical results to stakeholders outside your team
  • Hands-on statistical analysis with a solid fundamental understanding
  • Writing code and reviewing others’ in a shared codebase, preferably in Python
  • Practical SQL knowledge
  • Designing experiments and collecting data
  • Familiarity with the Linux command line

Experience we love to see:

  • Experience managing remote teams
  • Previous work in fraud, payments, or e-commerce
  • Data analysis in a distributed environment
  • Passion for writing well-tested production-grade code


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