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"About ThreatLandscape\n\nThreatLandscape is building the next-gen threat intelligence, attack surface minimalization, and remediation platform for cyber security teams at enterprises and governments. With a mission to create a global brand, ThreatLandscape’s currently looking for passionate, like-minded folks in the areas of Data Engineering, Scientific Computing, and Machine Learning to join us as we move to change our industry’s landscape and become the go-to name for all intelligent cyber security solutions.\n\n\nWhat they will do\n\n• Will work with our Data Science team in evolving our threat intelligence platform\n\n• Build scalable data computing workflows\n\n• Exploit the latest in Deep Learning and Natural Language Processing technologies\n\n\nWho we need\n\n• Bachelor’s degree in Computer Science or related discipline\n\n• Over three years' experience programming in Python with a solid understanding of Python internals\n\n• Two years' experience with Python’s scientific computing and data analysis packages like Numpy, Scipy and Pandas\n\n• Over a year's experience building analytics platforms using Python\n\n• Experience in modeling real-world problems with machine learning for time series data\n\n• Experience with relational databases\n\n• Experience with Big Data architecture and frameworks like Hadoop, Spark or equivalent\n\n• Familiarity with Deep Learning frameworks like Tensorflow and Keras is a plus\n\n• Exposure to open source and cloud-specific data pipeline tools such as Airflow, Glue and Apache Beam"
