• 2+ years of experience in people management with a track record of building high-performance teams and growing talent
• 6+ years of data science and analytics experience or equivalent
• Experience building relationships to influence product partners with data
• Experience leading cross-functional projects that depend on the contributions of others in multiple disciplines
• Familiarity with data warehouse design and best practices
• Fluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) that will allow you to support and mentor the team and their technical growth
• Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes

• Lead a team of Data Scientists and help them set goals, collaborate, and scale with their cross-functional partners
• Provide mentorship to team members through feedback, coaching, and hands-on technical guidance as needed, focusing on their long-term growth
• Partner with senior cross-functional leaders including Product, Product Marketing, Engineering, and Design to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact

• M.S. or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)
• Experience working on business and product initiatives focused on growth and retention

• Healthcare coverage
• Retirement Plans including company match 
• Employee Stock Purchase Program
• Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance 
• Paid parental and caregiving leave
• Paid time off
• Learning and Development resources
• Paid Life insurance, AD&D. and disability benefits 
• Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources

We are looking for a Data Science Manager to join our team and help continue to build and grow our core POS processing team. You will report to the Head of Data Science & Analytics and partner with product, marketing, design, and engineering leads on product and business strategies. You and your team will leverage engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bring our products to market. Although this is a leadership role, we want someone who brings hands-on technical experience - you should expect an interview process that optimizes both leadership and technical skills.