Take end-to-end ownership of a high impact data science project fromformulation, planning, architecting different solution approaches,implementation at scale, measure and deliver.Implement data-driven solutions based on advanced ML and optimizationalgorithms to address business problemsExplore data using a variety of advanced statistical techniques toproactively identify relationships, generate insights and answer businessquestions orDesign and apply machine learning techniques to deliver actionableinsights from large-scale, multi structured datasetsPerform thorough model evaluation and devise ML / Deep Learningexperiments based on statistical analyses.Act as an SME on the floor and help build data science capabilitiesRequirementsAtleast 5 years of real-world experience working as a Data Scientist withexcellent skills in SQL and Python; additional knowledge of other datamining software (Spark, etc.) is a plusComfortable working on both supervised and unsupervised machinelearning problems.Worked on (at-least one of) the specialized packages pertaining to textualdata like NLTK and image data like pil, opencv etc.Exposure to advanced deep learning techniques such as LSTM, CNN,Dense neural networks as well as neural networks design andimplementation through tools like Tensorflow, Keras, PyTorch, DeepAI orequivalentGood understanding of data structures, algorithms, and first principles ofmathematics.Basic understanding of statistics, linear algebra and calculus.Experience with big data analytics and advanced data mining techniquesto analyse dataExperience of developing and deploying ML based solution into productionExperience with data visualization tools such as PowerBI, Tableau, Dash,Plotly, D3.js, etc.