Data Science - Director job opening at GlobalData

Role : Data Science and LLM Director

Overview

This combined role leads the organization's data science initiatives with a special focus on Large Language Models (LLMs), generative AI technologies, and intelligent automation. The position requires strategic leadership in data-driven decision making, specialized expertise in implementing cutting-edge AI language models, and proficiency in developing automated solutions to transform business operations and enhance organizational efficiency.

Core Responsibilities :-

Leadership & Strategy

• Lead and mentor a team of data scientists, ML and Python engineers, and automation specialists, fostering a culture of innovation, collaboration, and continuous learning 
• Develop and execute the organization's data science, generative AI, and automation vision, strategy, and roadmap aligned with business objectives 
• Identify and prioritize high-impact opportunities where data science, LLMs, and automation can drive business value and operational efficiency 
• Partner with senior executives to ensure AI and automation initiatives support broader organizational goals 
• Establish governance frameworks, ethical guidelines, and best practices for responsible AI deployment and automated process implementation 
• Drive automation strategy to streamline workflows, reduce manual processes, and enhance productivity across data science operations

Technical Direction

• Design scalable data processing pipelines and architecture for analytics, modeling, LLM implementation, and automated workflows
• Oversee the evaluation, fine-tuning, and deployment of large language models for specific business applications 
• Drive implementation of data science, LLM, and automation solutions across various business functions including customer service, content generation, knowledge management, and process optimization 
• Develop and implement intelligent automation strategies to streamline data workflows, model deployment, and operational processes 
• Balance innovation with practicality, selecting appropriate technologies and automation tools based on business needs and ROI 
• Guide the integration of LLMs with existing data infrastructure, systems, and automated processes 
• Establish automated monitoring using Python , testing, and deployment pipelines for AI/ML models and data science solutions

Applied Data Science

• Lead the development of predictive models, machine learning solutions, and LLM applications
• Ensure data quality and appropriate data management practices across initiatives
• Direct the collection of new data and refinement of existing data sources to improve model performance
• Oversee experimentation and validation processes to evaluate solution effectiveness
• Facilitate the translation of complex analytical findings into actionable business insights

Communication & Education

• Present findings and recommendations to key stakeholders through reports and presentations
• Serve as the organization's point person for generative AI knowledge and applications
• Develop educational resources and training programs to build data science and AI literacy
• Communicate complex technical concepts to non-technical stakeholders in clear, understandable terms
• Prepare white papers, case studies, and other materials showcasing data science and LLM successes

Qualifications, Education & Experience

• Master's or B,tech in Computer Science, Statistics, Mathematics, Data Science, Machine Learning or related quantitative field 
• 10+ years of experience in data science, with at least 3+ years focusing on natural language processing or LLMs 
• 7+ years of experience managing technical teams and leading complex projects 
• 5+ years of hands-on experience in automation, process optimization, and workflow automation tools 
• 8+ years of advanced Python programming experience, including data science libraries, automation frameworks, and ML/AI development 
• Demonstrated success implementing data science and automation solutions that deliver measurable business impact 
• Experience with large language model deployment, fine-tuning, and evaluation 
• Proven track record in developing and implementing automated data pipelines, ML model deployment, and intelligent process automation using Python

Technical Skills

• Expert-level programming skills in Python and proficiency with data science/ML libraries
• Strong background in machine learning, deep learning, and statistical analysis
• Hands-on experience with LLM frameworks such as PyTorch, TensorFlow, or Hugging Face
• Experience with MLOps and the automation of model training, evaluation, and deployment
• Proficiency with cloud platforms (AWS, GCP, Azure) and big data technologies
• Knowledge of data visualization tools and techniques for effective communication

Leadership & Soft Skills

• Strategic thinking and business acumen with ability to align technical solutions to business needs
• Exceptional communication skills for conveying technical concepts to diverse audiences
• Experimental mindset with ability to balance innovation with practical implementation
• Strong project management capabilities and experience with agile methodologies
• Collaborative approach to working with cross-functional teams and stakeholders

Key Performance Indicators

• Development and execution of data science and LLM strategy with measurable business impact
• Successful implementation of LLM-powered solutions that improve operational efficiency
• Quality and effectiveness of data science team output and deliverables
• Adoption of data-driven decision making across the organization
• Creation of scalable, sustainable data science and AI infrastructure