Data Science Product Manager - Recommendations - Core AI

Key Skills

A/B Testing, Aartificial intelligence, Algorithms, Data science techniques, Ecommerce, Machine learning techniques, Natural Language Processing (NLP), Product Management, Project management

Job Description

Have you ever wished you could improve the relevance of the recommendations displayed on your favorite online website? If yes, read on!

We are seeking a highly motivated and experienced Data Science Product Manager to join our team at eBay. As the Data Science Product Manager, you will be responsible for developing and executing data-driven product strategies to build and enhance the inspirational recommendation on our platform. You will work closely with cross-functional teams, including product managers, data scientists, engineers, and designers, to drive the development and deployment of new science-driven experiences that help customers find more of what they like on eBay. The role requires someone customer-focused, collaborative, organized, and driven.

Responsibilities:

• Develop and execute data-driven product strategies to build and enhance inspirational recommendation.
• Collaborate with cross-functional teams to define product requirements and translate them into actionable product plans.
• Work closely with data scientists/applied researchers to develop algorithms that improve the quality and relevance of our product recommendations.
• Drive the development and deployment of new products and features, ensuring that they meet the highest standards of quality and relevance.
• Monitor key metrics to measure the success of our recommendation algorithms, and use this information to inform future product development decisions.
• Stay up-to-date with industry trends and emerging technologies in the field of recommenders in e-commerce, and apply this knowledge to our product development efforts.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. Master's degree or higher preferred.
• At least 3 years of experience in product management, ideally with a focus on recommender systems.
• Experience in e-commerce or related industries is preferred.
• Knowledge of data science concepts and methodologies, including machine learning, natural language processing, and recommendation algorithms is a plus.
• Experience working with cross-functional teams, including data scientists, engineers, and designers.
• Comfortable communicating and collaborating with stakeholders at all levels of the organization.
• Strong project management and prioritization skills
• Previous exposure to A/B testing and multivariate testing

About Zeta Global

Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.