Head of Data Science

Job Overview

Head of Data Science

Head of Data Science

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.