Senior Data Scientist

Senior Data Scientist will be responsible for building data science models and analytics applications, applying predictive modeling and machine learning techniques to business problems.
He/she should have expertise in programming languages like Python and SQL along with proficiency in data visualization tools such as Tableau. He/She should also possess good communication skills to interact with stakeholders across functions and levels. About Job Responsibility: Analyzing large amounts of historical and real time data using statistical methods, algorithms and other analysis techniques to discover trends and patterns. Designing, developing and testing models to forecast future events, risks and opportunities. Applying advanced analytics techniques to drive decision making. Creating automated systems for monitoring performance metrics. Identifying anomalies and trends in data sets. Developing code for prototyping and testing ideas. Communicating findings through reports, dashboards, graphs, tables and charts. Collaborating with team members to ensure projects are completed on schedule. Presenting results to management. About Qualification: Bachelor s degree in computer science, Information Technology, Mathematics, Statistics, Economics, Business Administration or related field. Master s degree preferred. Experience in handling large data sets and working knowledge of statistics packages such as NumPy, pandas, scikit-learn etc. Strong background in Statistical Modelling and Data Mining techniques with special emphasis on Machine Learning Algorithms. Excellent hands-on experience in Data Visualisation Tools such as Tableau, Power BI etc. Good understanding of Programming Languages like Python, R, Java etc. Working Knowledge of Database Systems, NoSQL DBMS, SQL Server, Oracle etc. Familiarity with Cloud platforms AWS, Azure etc. Ability to communicate complex technical concepts to both technical and non-technical audiences. Demonstrated problem solving skills. Proactive self-starter with ability to work independently.