Data Scientist

Key Responsibilities

 

• Develop and refine machine learning models to improve ad personalization across browser and Shops platforms, utilizing both existing signals and new data sources.
• Collaborate with cross-functional teams to define metrics, measure program ROI, and analyze experimental results to inform product and strategy decisions.
• Contribute to the ongoing development of the In-App Browser, aiming to reduce user friction during the purchase journey and optimize post-click experiences.
• Support the Shops Ads initiative, enabling advertisers to optimize for in-app purchases and creating seamless, mobile-first shopping experiences.
• Drive strategic initiatives related to the transition to offsite checkout shops (SAoff) and align signal treatment across different platforms, including IAB efforts.
• Promote the adoption of self-serve ML models across teams by shaping technical directions and providing data-driven insights.
• Communicate complex data findings clearly to stakeholders, ensuring alignment on priorities and strategies.
  
   

Minimum Qualifications

 

• Proven experience as a Data Scientist, preferably with a focus on advertising, eCommerce, or personalization.
• Strong expertise in machine learning, statistics, and data analysis techniques.
• Demonstrated ability to work with large-scale data and build scalable ML models.
• Excellent communication skills, with the ability to translate technical concepts for diverse audiences and influence stakeholder decisions.
• Passion for leveraging data to solve complex problems and improve user experiences at scale.
• Interest or experience in mobile shopping, in-app advertising, and signal processing is a plus