Data Scientist
22 hours ago
About the job Data Scientist Education and Work Experience Requirements 5 to 9 years of experience as Data Scientist Proven track record and experience with statistical modeling data mining algorithms such as o Multivariate Regression Logistic Regression clustering algorithms Support Vector Machines Decision Trees etc o Machine learning deep learning graph mining o DOE Forecasting Segmentation Uncertainty Analysis etc o Data Mining i e Text Mining Classification Methods SVM NN etc o Vector Space model for Unstructured Text o Sentiment Analysis Association Mining Semantic Analysis Good knowledge of advanced statistical methods Experience working with Text Data using transformer-based model Experience in creating statistical models and or optimization frameworks for improving processes products profits Expertise with one of the following scripting languages o Python R Tensorflow Keras Pytorch o Scikit-learn WordNet NLTK SpaCy Gensim Large Language Models Knowledge Graphs Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised tasks Tech savy and willing to work with open-Source Tools Good to have foundational knowledge on Cloud API frameworks like Flask Fast API Prior experience working on Mobility or Healthcare domain will be a plus Mandatory Skills Develop test and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models Good knowledge of advanced statistical methods Mine and analyze data applying statistical methods as necessary pertaining to customers discovery and viewing experiences to identify critical product insights Experience in creating statistical models and or optimization frameworks for improving processes products profits Interact with our research team and with key partners in the market to build end-to-end AI ML solutions Conversational AI document understanding Mine and analyze data applying statistical methods as necessary pertaining to customers discovery and viewing experiences to identify critical product insights Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication education and data visualization Translate analytic insights into concrete actionable recommendations for business or product improvement Build and improve reusable tools modelling pipelines and support knowledge sharing across several teams
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