Who You Are Must-Haves BSc in computer science, math, physics, or a related field 5+ years of experience as a data scientist Experience with data pipelines / big-data analytics - Must Solid grounding in core machine learning concepts and techniques - classic ML (SVM, trees, bagging/boosting, clustering methods), neural networks (activations, dropout, batch norm), optimization (loss functions, gradient descent, regularization), data & features (imbalance, scaling/encoding, dedup/leakage), evaluation (PR/ROC metrics, ablations, error analysis). Demonstrated expertise in applying LLMs - prompt engineering and prompt tuning (few-shot, chain-of-thought, tool/function calling, routing), task adaptation (instruction/SFT, PEFT/LoRA, DPO/RLHF), retrieval-augmented generation, rigorous evaluation and production deployment with appropriate safety, latency, and cost controls. 3+ years of hands-on experience in programming in python or a similar scripting language. Self-learner, initiator, able to quickly learn new technologies Experience in NLP - a must MSc in computer science, math, physics, or related field –
