Data ScientistTop skills:Python, SQL skillsAWS experience (framework knowledge)Experience with Deep Learning applications like TensorFlow, PyTorch or CaffeIntelligence Machine Learning models (ML modeling tools)Requirements:Minimum Master’s degree in engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields5+ years of prior work experience as a data scientistProficiency in the entire Predictive Modeling life cycle – From exploratory data analysis to data cleaning to Feature Engineering to Model Building and Validation, Operationalization and Scalability of scientific techniques and establishing decision strategies.Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, NLP, feature selection/reduction, clustering, parameter tuning, etc.)Experience in projects involving large scale, multi-dimensional databases, complex business infrastructure, and cross-functional teams. Two to four successfully launched ML projects would be ideal.Programming skills in Python, SQLHands on experience on using AWS framework is a plusExposure to Deep Learning applications and tools like TensorFlow, PyTorch, Caffe is preferred.Experience in the financial domain and familiarity with financial models are highly desirable.Ability to partner closely with a diverse set of business collaborators to identify needs and deliver AI/ML solutions.