Senior Data Science Manager at Signifyd

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Senior Data Science Manager
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Austin (Remote) • Boston (Remote) • Chicago (Remote) • New York City (Remote) • Orlando (Remote) • United States (Remote)
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 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
#LI-Remote
Benefits in our US offices:
4-day workweek
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
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