Lead Data Scientist

5+ years of experience working with large and varying data sets, applying qualitative and quantitative analysis to interpret the data.• 3+ year hands-on software engineering and Data Science experience working from data prep, modeling and feature engineering all the way through to deployment.• Develop algorithms and predictive models to derive insights and business value from data.• Test and validate algorithms and models using Machine Learning, Deep Learning and other modern techniques/methodologies.• Demonstrable proficiency in coding Python, R, Java, Scala, C, programming concepts, IDEs and big data frameworks (Spark, Hadoop).• Strong knowledge and experience with several Data Science and ML/DL libraries or tools such as H2O, Spark MLlib, ML pipelines, Scikit-learn, H2O, Keras, Tensorflow etc.• Hands on experience with Data Science notebooks such as Anaconda, Jupyter, and Zeppelin• Strong understanding of machine learning methods such as classification, feature selection, clustering, neural networks, etc.