Data Scientist

Data Scientist

•Primary skills: Technology->Data Science->Machine Learning, Technology->Machine learning->data science • Experience building and optimizing NLP systems using modern approaches (e.g., embeddings, transformer-based models) and tailoring them to domain needs. • Proven ability to design experiments, run A/B tests, and connect model improvements to measurable business outcomes. • Partner with stakeholders to translate business goals into data science problem statements, success metrics, and experiment plans. • Build, evaluate, and deploy machine learning and AI models using Python, ensuring performance, robustness, and scalability. • Develop NLP solutions such as text classification, entity extraction, topic modeling, semantic search, and summarization based on use case needs. • Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring.