Data Science Lead

6 hours ago

New DelhiNCR, Delhi, India Vrinda International Full-time ₹4 - ₹6 Contract
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 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.