Statistics Specialist

1 semana atrás


Curitiba, Brasil Innodata Inc. Tempo inteiro

About the RoleInnData (NASDAQ: INOD) is a leading data engineering company with over 2,000 customers across 13 global cities.We partner with the world's largest technology firms to advance generative AI and large language models (LLMs).We are hiring a highly skilled Data Scientist, Master's or PhD in Statistics, Applied Mathematics, or a related quantitative field, to join our cutting-edge AI team.Key ResponsibilitiesDesign and implement statistical frameworks for preparing, analyzing, and quality-assessing large-scale datasets used in LLM training.Perform exploratory data analysis (EDA) to detect biases, 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.Interpret model behaviors using statistical insights and provide actionable recommendations for model fine-tuning.Document methodologies, maintain reproducible workflows, and contribute to technical publications.Key QualificationsMaster's or PhD in Statistics, Applied Mathematics, Data Science, Computer Science (strong statistics focus), or related quantitative field.Strong knowledge of statistical modeling, probability theory, and experimental design.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.Strong analytical thinking, attention to detail, and problem-solving skills.Excellent written and verbal communication skills in English.AssessmentThe assessment is mandatory & non-billable.If interested, kindly share your updated resume at : ******Seniority levelEntry levelEmployment typeFull-timeJob functionResearch, Analyst, and Information TechnologyIndustriesBusiness Consulting and Services#J-*****-Ljbffr



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