BS, MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.
1+ years of experience in modern data science tools and proficient in Python and typical data science libraries (e.g., TensorFlow, PyTorch, Keras).
Efficient in SQL
Comfortable in Linux environment
1+ years of experience in machine learning techniques such as classification, regression, decision trees, neural nets, large language models, recommender systems, natural language processing, clustering, anomaly detection, sequential pattern discovery, text mining, and familiar with the latest trends and applications of generative AI.
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.