Description

You will develop AI/ML models and statistical frameworks to solve complex business problems through data-driven insights.

Responsibilities

• Build and maintain AI/ML, statistical, or econometric models to drive predictive and prescriptive analysis.
• Clean, aggregate, and analyze large datasets while ensuring high data quality and integrity.
• Design data requirements and set up data warehouses to support modeling phases.
• Write modular, reusable code to automate iterative tasks and optimize processing speeds.
• Present technical conclusions and data insights to key stakeholders.

Required Skills

• 5+ years of experience in consulting or analytics within a professional organization.
• Hands-on expertise in machine learning, data mining, and predictive modeling.
• Proficiency in R, Python, and Spark for data management and programming.
• Deep understanding of algorithms including Random Forest, Gradient Boosting, XGBoost, and Neural Networks.
• Experience with Natural Language Processing (NLP) using frameworks like NLTK and SpaCy.
• Strong background in statistical data analysis and mathematical modeling.
• Competency in text analytics, computer vision, and deep learning.
• BTech in Computer Science, MCA, or a Master’s degree in Statistics, Econometrics, Mathematics, or a related field.

Preferred Skills

• MPhil or PhD in Statistics, Econometrics, or related mathematical fields.

Key Skills

Education

Any graduate