About this role

Build and deploy models that serve predictions in milliseconds
Own the full ML lifecycle: feature engineering, training pipelines, model validation, A/B testing, monitoring for drift
Define research roadmap for predictive SEO intelligence and agent decision systems
Design experiments that prove business impact
Mentor data scientists and ML engineers

7+ years applied data science experience
3+ years in production ML environments
Deep Python fluency
NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow
SQL at scale
complex queries against terabyte datasets, query optimization
ML engineering mindset
feature stores, model serving, A/B testing, monitoring, drift detection
AI-native workflow
experience with AI coding tools
Scientific communication
clear explanation of complex methodologies
Research leadership
mentoring and coordination experience
Bonus: NLP/LLM expertise, Search or SEO domain knowledge, Reinforcement learning or bandit algorithms, Published research or active ML community presence

Staff Data Scientist – AI & Intelligence

Key skills