Data Scientist
Core
Define measurable business questions, select appropriate ML methods, and build baselines to turn client problems into actionable numbers.
Role type
Senior IC Data Scientist (Production AI Systems)
Builds
Measurable business questions, ML baselines, and evaluation frameworks for client AI systems
Domain
AI Engineering / Data Science / Production ML
Deliverable
production ML models
Required skills
Python, PyTorch, pandas, NumPy, scikit-learn, statistics, experimental design, model fine-tuning (LoRA/QLoRA/PEFT), error analysis, cloud AI services (AWS/GCP/Azure)
Preferred skills
LLM evaluation, multimodal work, causal inference, MLOps tooling, compliance delivery (SOC2/HIPAA)
Technologies
PyTorch, LoRA, QLoRA, PEFT, 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 supervised/unsupervised/deep learning methods, fine-tune pretrained models, design baselines and holdouts, perform error analysis and handover documentation, work within client environments
Seniority
Senior, hands-on IC