Data Scientist (ML, NLP, GenAI, Statistics)

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Description

Data Scientist – NLP / Generative AI Role Overview We are looking for a Data Scientist to develop, evaluate, and improve NLP, Generative AI, and Machine Learning solutions . You will work with product, engineering, and business teams to translate user needs into data-driven solutions and ensure models are reliable, scalable, and suitable for production. Key Responsibilities Develop and evaluate NLP, Generative AI, and Machine Learning models for real-world use cases. Build evaluation frameworks and datasets to measure model accuracy, quality, reliability, latency, and cost . Conduct experiments, model validation, and error analysis to identify performance gaps and recommend improvements. Evaluate and apply appropriate AI models, techniques, embeddings, language models, and prompt strategies . Work with engineers to integrate validated models and improvements into production environments. Monitor model performance and establish appropriate automated and human evaluation methods . Ensure experiments, datasets, and model decisions are properly documented and aligned with Responsible AI, privacy, and security requirements . Present technical findings and recommendations clearly to both technical and non-technical stakeholders. Requirements Degree in Computer Science, Data Science, Statistics, Artificial Intelligence, Computational Linguistics , or a related quantitative discipline, or equivalent practical experience. Hands-on experience in Data Science / Machine Learning , preferably involving NLP, Generative AI, Search, or Information Retrieval . Strong programming skills in Python , with working knowledge of SQL, data processing, version control, and software development practices . Good understanding of statistics, experimental design, model evaluation, validation, sampling, and error analysis . Experience working with unstructured text data and evaluating ML/Generative AI systems. Familiarity with embeddings, language models, prompt design, and model evaluation . Ability to develop maintainable code and collaborate with engineers to deploy solutions into production. Strong analytical, problem-solving, communication, and stakeholder management skills. Good to Have Experience with multilingual NLP, translation evaluation, or multilingual datasets . Knowledge of Chinese, Malay, or Tamil and Singapore's multilingual communications environment. Exposure to cloud AI services, vector search, MLOps, production monitoring, and Responsible AI . Experience delivering AI solutions within government, regulated, communications, or high-assurance environments . Key Skills Python | SQL | Machine Learning | Generative AI | NLP | LLMs | Embeddings | Prompt Design | Model Evaluation | Information Retrieval | Vector Search | MLOps

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