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Siemplify, a fast-growing cyber security start-up, is looking for a data science professional who is creative, out of the box thinker and passionate about research of innovative ideas and bringing them to life. We are looking for a data science professional who is creative, out of the box thinker and passionate about research of innovative ideas and bringing them to life. As a data scientist you will be in charge of determining the best algorithms for our next generation cyber threat analysis and management platform. Research and development predictive models on large-scale datasets to address various cyber security-related problems through leveraging advanced statistical modeling, machine learning, and data mining techniques. Required Experience/Skills & Education: - PhD or MS degree in Computer Science, Statistics, Applied Math. - Deep understanding of statistical modeling, machine learning, or data mining concepts, and a track record of solving problems with these methods. - Minimum 3+ years of relevant industry experience. - Familiar with machine learning or statistical modeling tools such as Python, R, Matlab, etc. - Proficient in one or more programming languages such as Java and/or C#. - Knowledge and experience of working with SQL and NoSQL databases Desired: - Cyber security fundamentals Experience with big data techniques (such as Hadoop, MapReduce, Hive, Pig, Spark, Storm) For details, [email protected] www.Siemplify.co