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 robust 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.

RequirementsRequirements:

- 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 strong 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 (New Delhi)
🏢 Vrinda International
📍 New Delhi