· Bachelor’s or master’s in computer science, Statistics, Mathematics, Data Science, Engineering, or related field
· 3-5 years of experience as a data scientist, with a strong foundation in machine learning fundamentals (e.g., supervised and unsupervised learning, neural networks)
· Experience with Python programming language (including libraries such as NumPy, pandas, scikit-learn) is essential
Deep hands-on experience building computer vision and anomaly detection systems involving algorithm development in fields such as image-· Bachelor’s or master’s in computer science, Statistics, Mathematics, Data Science, Engineering, or related field
· 3-5 years of experience as a data scientist, with a strong foundation in machine learning fundamentals (e.g., supervised and unsupervised learning, neural networks)
· Experience with Python programming language (including libraries such as NumPy, pandas, scikit-learn) is essential
Deep hands-on experience building computer vision and anomaly detection systems involving algorithm development in fields such as image-