Data Science Manager, Signifyd

• A degree in an analytical field or equivalent practical experience
• 2+ years of experience in people management with experience building teams, growing talent and working across departments
• At least 4 years of work experience required
• Strong stakeholder management skills
• 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

Desirable

• Owning the decisioning performance for a group of enterprise merchants with household names, executive attention, and a significant bottom line impact to Signifyd
• Collaborating with internal stakeholders across Customer Success, Risk Intelligence, Sales and beyond
• Leading a team of Data Scientists and helping them set goals, collaborate, and provide vision and guidance on key areas to 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