Summary

We are seeking an experienced Data Science Lead to drive strategic initiatives within our IT Services sector. In this pivotal role, the successful candidate will oversee the end-to-end lifecycle of advanced analytics projects, ensuring that data-driven solutions align with broader business objectives. This position demands a deep understanding of complex datasets and the ability to translate technical insights into actionable business strategies, serving as a critical bridge between technical teams and organizational stakeholders.

Responsibilities

- Cultivate strong relationships with key stakeholders to define project scope, manage expectations, and ensure deliverables meet business needs.
- Execute advanced feature engineering and rigorous model evaluation processes to enhance predictive accuracy and model performance.
- Implement strategies for continuous model optimization to maximize efficiency and scalability across various data pipelines.
- Establish robust production monitoring frameworks to track model health, detect drift, and ensure reliable real-time performance.
- Apply critical problem-solving and analytical thinking skills to address complex data challenges and uncover hidden opportunities.




- Design and develop sophisticated machine learning and statistical models tailored to specific industry requirements.
- Utilize Python programming expertise to build, test, and deploy scalable machine learning solutions into production environments.
- Lead the full spectrum of model development and deployment, ensuring seamless integration with existing IT infrastructure.

Requirements

Requirements:

- Possess 8 to 12 years of professional work experience within the technology or data science domain.
- Demonstrate proven expertise in stakeholder management and the ability to communicate technical concepts to non-technical audiences.
- Show advanced proficiency in feature engineering, model evaluation, and optimization techniques.
- Have a solid track record in setting up production monitoring systems and maintaining model reliability.
- Exhibit exceptional problem-solving capabilities combined with deep analytical thinking skills.
- Hold extensive knowledge of machine learning algorithms and statistical modeling methodologies.
- Be highly skilled in Python programming for data manipulation, analysis, and software development.
- Possess hands-on experience in the complete lifecycle of model development and deployment in live environments.

📌 DATA SCIENCE LEAD (Delhi)
🏢 Vrinda International
📍 Delhi