Principal Data Scientist, Recommendations (PhD)
Core
Build production-grade recommendation systems and creative intelligence models to drive ad effectiveness and creative performance for global marketers.
Role type
Principal Data Scientist (Recommendations & Creative Intelligence)
Builds
Recommendation engines, creative diagnostics, multimodal AI models, and decision-support tools for the digital ad ecosystem.
Domain
Adtech / Creative Data / Machine Learning
Deliverable
production ML models | product features
Required skills
Recommendation systems, multimodal AI, computer vision, causal inference, MLOps, Python, SQL, statistical validation, experimental design, large-scale data platforms
Preferred skills
PhD in CS/Stats/Math, GenAI/LLM experience, adtech/martech domain knowledge
Technologies
Python, SQL, Databricks, BigQuery, Flink, AWS, GCP, Vertex AI
Responsibilities
Develop recommendation models to identify underperformance drivers and prioritize creative edits; Build creative intelligence systems connecting visual, text, audio, and performance data; Advance multimodal modeling using computer vision, embeddings, and LLMs; Raise analytical standards via rigorous model design, validation, and causal inference; Write production code for data products, APIs, and model pipelines; Improve ML infrastructure including training pipelines and model serving; Serve as a technical leader to explain complex AI concepts to cross-functional teams.
Seniority
Principal, hands-on IC technical leader
