Data Scientist

Responsibilities

Finding new ways to build more AI-centric systems to enable and empower Doctors with their better health outcomes.Processing, cleansing, and verifying the integrity of data used for analysisData mining using state-of-the-art methodsExtending the company’s data with third party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systems

Skills

B.Tech or (higher) in computer science or similar discipline.2-5 years of data science experience using statistics, machine learning.Exceptional communication skills. Demonstrated ability to communicate complex concepts to business audiences.Advanced expertise in one or more programming languages (Python/R) for DataScience and machine learningHave hands-on experience(projects) on end-to-end model development, from gathering data to productization of the model.Experience with common data science toolkits, such as NumPy, Pandas, MatLab, Sklearn, Keras, Pytorch, TensorFlow, etc.Proficiency in using query languages such as SQL, Postgress, MongoDB.Good applied statistics skills, such as distributions, statistical testing, regression, etc.Must have worked on projects using machine learning (such as k-NN, Naive Bayes, Decision Forests, Neural Nets) or forecasting techniques (ESM, ARIMA, ARIMAX, UCM) to meet analytics requirements.Good to have – exposure to and understanding of cloud platforms like GCP, Azure, AWS.Hands-on experience in either NLP, Predictive Analytics, or Time Series forecasting.Good knowledge & working on Visualization tools like Tableau, Power BI, etc.Skills: python,fine tuning llms