Sr. Data Scientist, AI/ML Systems

📋 Description

• Design and execute system-level measurement frameworks for model improvements across offline, online, and longitudinal metrics.
• Define and own the success metrics that quantify foundational model value.
• Build causal inference methods to isolate the impact of individual model components in multi-model production.
• Collaborate with ML Engineers, Applied Scientists, Homefeed and Surface teams to ensure measurement rigor in launches.
• Communicate findings clearly to stakeholders and help drive data-informed decisions.

🎯 Requirements

• 5+ years of data analysis in fast-paced, data-driven environments.
• Hands-on ML system evaluation, recommender measurement, and large-scale A/B experiments.
• Deep familiarity with large-scale recommender/ranking systems and their evaluation.
• Experience designing multi-surface A/B experiments and causal inference.
• Strong Python and SQL/Spark; experience with ML pipelines and feature stores.
• Excellent communication and ability to drive projects end-to-end with ownership.

🎁 Benefits

• Equity in addition to base compensation.
• Collaborative, inclusive culture with strong mentorship.
• Flexible hybrid work options and supportive work-life balance.
• Opportunity to work on cutting-edge AI for a large-scale platform.
• International collaboration with cross-functional teams.
• Relocation not offered.