Data Scientist Lead - NLQ/LLM
- Collaborate with internal stakeholders to identify business needs and develop NLQ solutions that drive transformation
- Apply large language models, machine learning techniques, and statistical analysis to enhance decision-making and workflow efficiency
- Collect and curate datasets for evaluation and continuous improvement
- Perform experiments with model architectures, hyperparameters, and evaluation metrics
- Monitor and improve model performance through feedback and active learning
- Work with technology teams to deploy and scale models in production
- Deliver written, visual, and oral presentations of modeling results to stakeholders
- Stay current with research in LLM, ML, and data science, leveraging emerging techniques for ongoing enhancement
- Degree in a quantitative or technical discipline, or practical industry experience
- Experience in data science roles such as data engineering, ML engineering, LLM engineering, or data analytics
- Advanced Python programming skills with production-quality coding experience
- Experience working with structured and unstructured data
- Experience in prompt engineering and domain adaptation
- Understanding of foundational ML algorithms such as clustering and decision trees
- Ability to communicate complex concepts and results to technical and business audiences
- Proficiency with SQL and Snowflake
- Experience in Asset Management
- Experience applying NLP, LLM, and ML techniques to solve business problems such as semantic search, information extraction, question answering, summarization, personalization, classification, or forecasting
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