Manager - Data Science

Job description

Job Responsibilities-     • Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib • Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) • Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence • Good understanding of any of the cloud platform – AWS, Azure or GCP • Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus • Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. • Should be able to mentor and guide mid to large sized teams under him/her   Job Requirements-   • Strong experience on Spark with Scala/Python/Java • Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment • Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering • Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus