Description

JOB CONTENT To perform quantitative and qualitative business analysis. Churn business data with optimization or statistical & BI tool & interpreting findings. Working with stakeholders on large datasets to improve the business outcome. KEY RESPONSIBILITIES 1. Mine and analyze data from the database to drive optimization or improvement of the business strategies 2. Pre processing for both the structured and unstructured dataset 3. Develop customer data models and algorithms to apply to data sets 4. Use predictive modelling to increase & optimize the cost, revenue generation and other business outcomes based on the objective 5. Coordinate with different functional & business team to implement models and monitor outcome 6. Develop process and tools to monitor and analyze model performance and data accuracy 7. Assess the effectiveness and accuracy of new data sources and data gathering techniques. QUALIFICATIONS BE & Post Graduation in Data Science/Analytics or MS in Statistics/Computer Engineering EXPERIENCE Experience in using statistical/ data science computer languages (Python & R) & basic SQL - very good programmable skills Knowledge of ML techniques, Deep learning & AI algorithms (CART, ANN, NLP, GNN etc) Knowledge of advanced statistical techniques & its application Exposure to AI, Automation & IOT will be an added advantage Worked in Data Science/Analytics function in any other organization Minimum 3 to 6 years experience in Data Science or Analytics function. SKILLS REQUIRES Analytical Skills Communication Skills Strong problem solving skills Programming Skills - Python & for Data Science

Role and Responsibilities

• JOB CONTENT To perform quantitative and qualitative business analysis. Churn business data with optimization or statistical & BI tool & interpreting findings. Working with stakeholders on large datasets to improve the business outcome. KEY RESPONSIBILITIES 1. Mine and analyze data from the database to drive optimization or improvement of the business strategies 2. Pre processing for both the structured and unstructured dataset 3. Develop customer data models and algorithms to apply to data sets 4. Use predictive modelling to increase & optimize the cost, revenue generation and other business outcomes based on the objective 5. Coordinate with different functional & business team to implement models and monitor outcome 6. Develop process and tools to monitor and analyze model performance and data accuracy 7. Assess the effectiveness and accuracy of new data sources and data gathering techniques. QUALIFICATIONS BE & Post Graduation in Data Science/Analytics or MS in Statistics/Computer Engineering EXPERIENCE Experience in using statistical/ data science computer languages (Python & R) & basic SQL - very good programmable skills Knowledge of ML techniques, Deep learning & AI algorithms (CART, ANN, NLP, GNN etc) Knowledge of advanced statistical techniques & its application Exposure to AI, Automation & IOT will be an added advantage Worked in Data Science/Analytics function in any other organization Minimum 3 to 6 years experience in Data Science or Analytics function. SKILLS REQUIRES Analytical Skills Communication Skills Strong problem solving skills Programming Skills - Python & for Data Science