Senior Data Scientist

In this role, you will be responsible for executing on complex, ambiguous, and high-visibility business challenges and maintaining direct relationship with critical stakeholders. You will leverage data and analytics to deliver accurate, action-driving recommendations. This is an individual contributor role with significant potential for career growth.

This team member will support our SMB analytics team working 50% of the time on regular reporting (e.g., sales forecasts, pipeline) for a region (e.g., North America) and 50% of their time building net new assets (e.g., complexity scoring model) for the broader Merchant Analytics team.

Meet our team
Our Inside Sales and Partner Sales Analytics team supports the global sales teams, focusing on driving business outcomes, providing analytics insights, regular sales reporting, driving pipeline management, developing new models, and leading annual sales planning exercises.

• Build new models (e.g., predictive lead scoring model for new sales), create presentations (e.g., building our operations review decks), and lead strategic exercises (e.g., annual segmentation planning).
• Support a couple of sales markets; Provide analytical information for their weekly/monthly meetings (e.g., Sales pipeline review, monthly operations review), where you will have the opportunity to present Analytics findings that help materially move the business.
• Manage and maintain the relationship with senior sales leaders and meet their analytics needs
• Manage analytical projects from end to end, from inception to delivery.
• Initiate new solutions and analytic models to support the business

• Data driven mindset with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
• 5-8 years of experience in analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions, model building
• Stakeholder facing and management experiences
• Fluent in Python, SQL, Excel, and visualization tools such as Tableau or Qlikview;
• Strong communication skills, both written and verbal, to influence cross-functional teams
• Experience working independently and as a member of a cross functional team