First degree in exact sciences (e.g., Computer Science / Statistics / Mathematics) - advanced degrees are an advantage
Practical experience in processing and analyzing statistical data
Practical experience using various Machine Learning & Deep Learning algorithms
Practical experience using various NLP algorithms in Hebrew
Strong skills and experience in coding with statistical and visualization software packages in Python, such as:
Beautiful Soup, Requests, Pandas, NumPy, Seaborn, Matplotlib, SciKit learn, TensorFlow, PyTorch, Keras, NLTK, SciPy, Statsmodels, XGBoost, SpaCy,
Gensim
Experience with working in NoSQL databases, including strong command of SQL
Demonstrated experience in Big Data environments (Spark, Hive, etc.) in general and AWS environments in particular, emphasizing the ability to work with unstructured data, large volumes, and in Real Time