Description :

Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.

Key Responsibilities :

- Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making

- Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making

- Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends

- Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation

- Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Skills Required :

- Python

- Statistics

- SQL

- Machine Learning

Skills Preferred :

- Cloud

- LLM

- GCP

Experience Required :

- Specialist Exp : 5+ experience in relevant field