Head - Data Science - Machine Learning & Neural Networks

Role Overview:

We are seeking a visionary Head of Data Science to spearhead our advanced analytics and AI initiatives in Mumbai. In this leadership capacity, you will bridge the gap between complex neural network architectures and tangible business strategy, overseeing the end-to-end lifecycle of high-impact machine learning models. You will work closely with C-suite stakeholders, product managers, and engineering teams to translate ambiguous business challenges into scalable data products. By driving innovation in predictive analytics, you will directly influence our competitive positioning, optimize operational efficiencies, and deliver personalized experiences that redefine value for our global customer base.

Key Responsibilities:

- Architect and deploy sophisticated machine learning and deep learning models to solve complex business problems, ensuring high-performance outcomes for our core product lines.

- Lead and mentor a high-performing team of data scientists and engineers, fostering a culture of technical excellence and continuous innovation.

- Collaborate with cross-functional leadership to integrate AI-driven insights into the strategic roadmap, directly impacting revenue growth and customer retention.

- Establish robust data governance and model monitoring frameworks to ensure the reliability, scalability, and ethical integrity of all deployed artificial intelligence solutions.

- Translate intricate technical findings into actionable business narratives for non-technical stakeholders, driving organizational buy-in for data-centric initiatives.

Required Skillset:

- Demonstrated expertise in designing and implementing neural networks, deep learning frameworks, and advanced statistical modeling to drive predictive analytics.

- Proven ability to lead and scale technical teams, with a focus on coaching talent and managing complex project lifecycles in a fast-paced environment.

- Exceptional communication skills, with the ability to articulate complex data strategies to executive leadership and influence cross-functional decision-making.

- Strong educational background in Computer Science, Statistics, Mathematics, or a related quantitative field from a premier institute.

- High degree of adaptability to a hybrid work environment, maintaining strong team cohesion and project momentum across distributed workflows.

- Proficiency in modern data stacks and cloud-based machine learning infrastructure, with a track record of delivering production-grade AI solutions.