Data Scientist AI · Full-time

Frame, model and ship ML solutions that move client P&L.

What you'll do

• Translate ambiguous business problems into modelable formulations
• Build, evaluate and ship classical ML and modern LLM solutions
• Design experiments and causal analyses to quantify impact
• Own model monitoring, drift detection and lifecycle in production
• Communicate insights to executive stakeholders with clarity

What you bring

• 4+ years applied data science with production deployments
• Strong Python (pandas, scikit-learn, PyTorch) and SQL
• Solid grounding in statistics, experimentation and causal inference
• Experience with at least one MLOps stack (MLflow, SageMaker, Vertex)

Nice to have

• Published research or Kaggle competition experience
• Domain depth in financial services, retail or healthcare

Send your CV and a short note about the work you're most proud of.