Data Scientist
Core
Define measurable business questions, select appropriate ML methods, and validate models to provide actionable insights for clients who lack clear metrics.
Role type
Senior IC Data Scientist (Production AI Systems)
Builds
Production-ready ML models, baselines, and measurement frameworks for client environments
Domain
AI Engineering / Data Science / Client Delivery
Deliverable
production ML models
Required skills
Machine learning and deep learning (supervised/unsupervised), CNNs, Transformers, PyTorch, pandas, NumPy, scikit-learn, statistics and experimental design, error analysis, cloud AI services (AWS/GCP/Azure), AI-assisted coding tools
Preferred skills
LLM evaluation, open-weight fine-tuning (LoRA/QLoRA/PEFT), multimodal work, causal inference, MLOps tooling, compliance delivery (SOC 2/HIPAA)
Technologies
PyTorch, AWS SageMaker, Google Vertex AI, Azure Machine Learning, MLflow, Weights & Biases, Kubeflow, Claude Code, Cursor, GitHub Copilot
Responsibilities
Translate business decisions into measurable questions, choose between complex models and simpler baselines, fine-tune pretrained models, design experiments and report uncertainty, perform error analysis to distinguish data/label/method issues, hand over documented models with defined success metrics
Seniority
Senior, hands-on IC