Director, Data Science

Our client is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world.

They help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. They assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. They collaborate with universities to educate students, and support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. They partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking.

Responsibilities:

Strategic Leadership: 

• Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.

Team Management: 

• Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.

Advanced Research Direction: 

• Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage.

Machine Learning and AI Solutions: 

• Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems.

Data Collection and Preparation: 

• Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.

Data Visualization Strategy: 

• Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.

Cross-functional Collaboration: 

• Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.

Model Deployment and MLOps: 

• Oversee the deployment of machine learning models into pro duction environments, ensuring scalability and reliability.

Documentation Standards: 

• Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.

Budget and Resource Management: 

• Manage departmental budget, resource allocation, and infrastructure needs for data science operations.

Ethical AI Governance: 

• Develop and enforce ethical guidelines and best practices for AI development and deployment.

Requirements:

• Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.
• 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.
• Demonstrated experience in managing and scaling data science teams of 15+ professionals.
• Proven record of delivering high-impact AI and ML solutions that have driven significant business value.
• Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.
• Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.
• Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.
• Strong business acumen with the ability to translate complex technical concepts into business value.
• Excellent communication and leadership skills, with experience presenting to executive leadership.
• Experience working in a global or multicultural environment.
• Record of successful collaboration with product, engineering, and business teams.
• Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.