Manager

Job Description

Responsibilities 

• Hire, inspire, and grow high-performing Machine Learning Scientists, Data Scientists, and Analytics Engineers.
• Lead strong partnerships with stakeholders from across the business – from product management, engineering, consumer insights, content, and strategy.
• Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.
• Develop a team charter and roadmap that optimizes the impact of the team and reflects evolving business needs.
• Act as an ambassador between the Product, Engineering, Strategy, and DSE teams by having a deepknowledge of how the Ads product works.
• Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence & impact the business.

The Ideal Candidate: 

• Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions. 
• Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but also have high EQ, so that you can be a product ambassador to the rest of the organization.
• You are a player-coach. You can develop roadmaps and strategy, but also execute on technical work and ensure that your team produces consistent high quality outputs.
• Superb communication skills – You must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences. 
• Experience building and leading hybrid Data Science and ML teams in the Ads space.
• Capacity and passion to translate business objectives into actionable analyses, and use analytics to guide product and business with quantitative recommendations.
• A passion for TV and movies and defining the future of entertainment

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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