Data Scientist- Relocation To Singapore
On-siteSingapore, Singapore or Central, Louisiana, United States
Singapore, Singapore or Central, Louisiana, United StatesOn-siteFull TimeDoctorate Or Professional DegreeEnterprise
Full TimeDoctorate Or Professional DegreeEnterprise
Job Summary
Lead data science initiatives for a public sector client by applying machine learning and natural language processing to solve real-world problems. Develop and evaluate generative AI systems, search, and information retrieval solutions using Python, SQL, and modern NLP concepts like embeddings and prompt design. Collaborate with engineers to translate data-science solutions into production while maintaining rigorous statistical evaluation and model validation. Work fully on-site in Singapore with a relocation package for you and your family, including care of a Buddy during your stay.
Required Qualifications
- A degree in Computer Science, Data Science, Statistics, Artificial Intelligence, Computational Linguistics or a related quantitative discipline, or equivalent practical experience
- Demonstrated experience using data science or machine learning to solve real-world problems, preferably involving natural language processing, generative AI, search or information retrieval
- Strong programming skills in Python and working knowledge of SQL, data processing, version control and software-development practices
- Sound understanding of statistics, experimental design, evaluation methodology, sampling, error analysis and model validation
- Experience working with unstructured text or other complex data types, and evaluating machine-learning or generative AI systems beyond a single aggregate metric
- Familiarity with modern NLP and AI concepts such as embeddings, language models, prompt design and model evaluation
- Ability to write maintainable code and work with engineers to bring data-science solutions into production
- Strong analytical, problem-solving and communication skills, with the ability to explain technical findings and trade-offs clearly to diverse audiences
- A proactive and collaborative mindset, willingness to learn, and motivation to improve public services and communications through technology
- Communicative English
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