Director, Data Science

We are looking for an enthusiastic self-starter eager to contribute toward leveraging the Epsilon data platform for scaling personalization with privacy-compliant data. This team will lead building an audience strategy supporting all Verizon brands.

The Director will be accountable for both strategic and operational responsibilities, helping to discover and define target audiences for Verizon campaigns while also ensuring audience segments are sent to channel partners for campaign activation through collaboration with Strategy and Investment teams.

The ideal candidate is passionate and knowledgeable about audience planning, media planning/buying workflow and operations. She/He is self-motivated, curious, a critical thinker, and a team player.

Responsibilities:

• Collaborate with Strategy and Investment teams to build/activate custom audiences
• Be an advocate for the Audience Analytics team by evangelizing the platform which can unlock growth opportunities and customer experience enhancements
• Manage audience overlap, governance, and prioritization using behavioral and commercial audience insights to advise campaign leads
• Collaborate with Strategy on delivering audience insights addressing media strategy, profiling, messaging, and other insights to meet campaign goals
• Coordinate audience deployments and workflows across our channel partners and internal marketing, analytics, and planning teams for proper activation

Requirements

• Data-driven strategist with demonstrated success in Audience Segmentation, Personalization, Marketing, Media/Investment strategy
• 5+ years of direct marketing experience preferably in a consumer products business
• 5+ years of experience managing and improving workflows across multiple stakeholders
• 5+ years of experience delivering accurate and insightful business reporting and applying critical thinking to data to problem solve and drive business performance
• Ability to manage multiple, competing priorities simultaneously
• Self-starter with the ability to pick up a project and move it forward with limited direction
• Service-oriented, with an understanding and inclination towards good client service
• History of effectively managing customers and successfully working with internal teams to complete tasks and projects
• Experience with Python/SQL
• Experience with lookalike (LAL) and clustering models (k-means)