Role: Senior Data Scientist
Role Overview
We are looking for an experienced and strategic Lead Data Scientist with 5 - 8+ years of experience to drive the design, development, and deployment of advanced AI/ML solutions. This role requires a balance of hands-on technical expertise, team leadership, and project management, ensuring scalable and impactful data-driven solutions across the organization.
Key Responsibilities
• Lead the end-to-end lifecycle of AI/ML projects—from problem definition to production deployment
• Architect and develop scalable machine learning and deep learning models for real-world applications
• Drive model deployment and MLOps practices to ensure reliability, scalability, and performance (deployment experience is mandatory)
• Collaborate with business stakeholders to translate requirements into data-driven solutions
• Manage multiple projects, timelines, and deliverables while ensuring high-quality outcomes
• Mentor and lead a team of data scientists and ML engineers, fostering a culture of innovation and learning
• Review model performance, conduct error analysis, and continuously improve solutions
• Stay updated with the latest advancements in AI/ML and evaluate their applicability to business needs
• Ensure best practices in coding, experimentation, documentation, and version control
Required Skills
• 5 - 8+ years of hands-on experience in Data Science, AI, or Machine Learning
• Strong expertise in Python and libraries such as NumPy, Pandas, Scikit-learn
• Extensive experience with deep learning frameworks like TensorFlow or PyTorch
• Proven experience in model deployment, MLOps, and production systems
• Strong understanding of machine learning algorithms, statistics, and data modeling
• Demonstrated experience in team leadership and project management
• Experience working with large and complex datasets
• Excellent problem-solving, analytical thinking, and decision-making abilities
• Strong communication and stakeholder management skills