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1 semana atrás
Quantitative Data Scientist OpportunityWe are seeking a highly skilled professional to join our cutting-edge AI team as a Quantitative Data Scientist.
In this role, you will contribute to the development, training, and fine-tuning of Large Language Models (LLMs) by applying statistical methods, data analysis, and model evaluation techniques.Key Responsibilities:Design and implement statistical frameworks for the preparation, analysis, and quality assessment of large-scale datasets used in training LLMs.Perform exploratory data analysis (EDA) to detect biases, data inconsistencies, and anomalies in training corpora.Collaborate closely with AI researchers and engineers to develop data annotation guidelines and evaluation protocols.Apply advanced statistical methods to assess model outputs and guide iterative training improvements.Develop and maintain automated tools for data preprocessing, labeling, sampling, and quality control in LLM pipelines.Conduct rigorous hypothesis testing, A/B testing, and performance benchmarking of LLMs across various tasks.Requirements:Master's or PhD in Statistics, Applied Mathematics, Data Science, Computer Science (with strong statistics focus), or related quantitative field.Hands-on experience with large-scale datasets, data cleaning, feature engineering, and statistical analysis tools.Proficiency in programming languages such as Python, R, or Julia, including libraries like pandas, NumPy, SciPy, scikit-learn, or statsmodels.Familiarity with machine learning frameworks (TensorFlow, PyTorch) and understanding of LLM architectures (transformers, attention mechanisms).
Experience with annotation tools and data labeling processes is a plus.Excellent written and verbal communication skills in English.
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