Data Science - Architect

The purpose of the Data Science - Architect role at Quick Heal Technologies Ltd is to prototype machine learning solutions for currently unsolved business problems and enhance the performance of existing ML models. As a Data Science - Architect, you will propose and prototype new ML solutions, improve deployed models through feature engineering and data cleaning, and create a model delivery plan from data collection to deployment. You will also innovate new methods for model enhancements and collaborate across teams to address data collection and deployment challenges. In addition, you will mentor interns and new hires, contribute to hiring data scientists, and stay updated on ML technologies relevant to Cyber Security. As a Data Science - Architect, you are expected to have a Bachelor's or Master's degree in Mathematics, Statistics, Data Science, AI, ML, or Business Analytics, with 4-7 years of experience in the Data Scientist role. Your key competencies should include proficiency in Mathematics, Statistics, ML, advanced programming skills, SQL proficiency, and beginner-level domain knowledge. Your skills should demonstrate 10-15 years of overall experience, with 4-7 years specifically in data science or Applied Mathematics, Statistics, and Modeling Simulation. You should have hands-on experience in solving business problems from scratch, deploying multiple ML models in production using various algorithms, and delivering ML solutions across different domains. A strong knowledge of ML algorithms like XGBoost, LightGBM, SVM, K-Means, MLP, CNN, LSTM, as well as experience in endpoint application development using C++, and expertise in data manipulation using Python libraries are required for this role.,