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Senior Data Scientist
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Full-time
- Master’s or PhD degree in statistics, applied mathematics, physics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor’s degree in a quantitative field with 3+ years of relevant professional experience
- Solid understanding of deep learning concepts and architectures
- Strong knowledge of time series analysis, modeling and forecasting time series data and hands on implementation experience with machine learning frameworks (TensorFlow)
- This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week
- Working knowledge of large language models (LLM)
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