Head of Data Science

Job Overview

Key Responsibilities

• Define and execute the data science strategy to support business growth and innovation.
• Lead and manage a team of data scientists, machine learning engineers, and analysts to develop scalable AI/ML models.
• Design and implement predictive modeling, NLP, deep learning, and AI-driven automation for various business applications.
• Oversee end-to-end model development, from data acquisition to deployment in production.
• Work closely with stakeholders across engineering, product, and business teams to translate complex data insights into actionable business decisions.
• Optimize big data processing pipelines and cloud-based data infrastructure for real-time analytics.
• Stay ahead of industry trends, emerging AI technologies, and best practices in data science.
• Ensure compliance with data privacy, security, and governance regulations.

Required Skills & Qualifications

• 10+ years of experience in data science, AI/ML, or quantitative analytics with at least 3+ years in a leadership role.
• Proficiency in Python, R, SQL, and distributed computing frameworks (Spark, Hadoop, Dask).
• Hands-on experience with deep learning (TensorFlow, PyTorch), NLP, computer vision, and reinforcement learning.
• Strong understanding of MLOps, model deployment (Docker, Kubernetes), and cloud platforms (Google Cloud, AWS, Azure).
• Ability to align data science initiatives with business goals and KPIs.
• Experience in data-driven decision-making across finance, marketing, operations, or product management.
• Proven track record of leading and scaling data science teams.
• Strong ability to present complex findings to senior executives and stakeholders.
• Master’s/PhD in Computer Science, Data Science, AI, Mathematics, or a related field.
• Experience in financial markets, algorithmic trading, or fintech is a plus.