Data Science Manager, Point of Sale Add-ons
- Full-time
Company Description
Job Description
We are looking for a Data Science Manager to join our team and help continue to build our add-on products (Team Management, Marketing, Loyalty and Gift Cards). 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 use 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 which optimizes for both leadership and technical skills.
You will:
- Lead a team of Data Scientists and help them set goals, collaborate, and scale with their partners
- Provide mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
- Partner with senior 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
Qualifications
You have:
- 2+ years of experience in people management with experience building 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 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
Nice to have:
- 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
Additional Information
Perks
At Square, we want you to be well and thrive. Our global benefits package includes:
- Healthcare coverage
- Retirement Plans
- Employee Stock Purchase Program
- Wellness perks
- Paid parental leave
- Paid time off
- Learning and Development resources