As a VP of the Data Science Org, you will lead the strategic vision and execution of advanced data science initiatives for a global organization. This role is pivotal in driving innovation, delivering impactful solutions, and fostering collaboration across a diverse, high-performing team. You will oversee the development and deployment of machine learning models, ensuring alignment with organizational goals while cultivating a culture of excellence and innovation.Key ResponsibilitiesStrategic LeadershipDefine and implement a forward-looking roadmap for AI and machine learning that aligns with the organization's broader business objectives.Spearhead research and development efforts to create innovative AI solutions that address complex challenges and enhance product offerings.Operational ExcellenceEstablish best practices for model development, deployment, and monitoring within cloud-based production environments.Scope projects effectively using advanced techniques such as classification methods and network analysis in collaboration with product teams.Team LeadershipBuild, mentor, and manage a global team of data scientists, fostering professional growth and ensuring optimal resource allocation.Promote a cohesive team culture that encourages collaboration, innovation, and continuous improvement.Cross-Functional CollaborationPartner with engineering, product management, and data teams to integrate machine learning models seamlessly into the organization's technology ecosystem.Communicate technical concepts clearly to stakeholders across various functions, including leadership, sales, marketing, customer support, and external clients.Innovation & ResearchStay at the forefront of emerging AI trends by exploring new technologies and methodologies to maintain competitive advantage.Drive experimentation with cutting-edge approaches in deep learning, unsupervised learning, and network analysis.QualificationsTechnical ExpertiseAdvanced degree in a technical field such as machine learning, computer science, statistics, or mathematics.15+ years of experience applying machine learning techniques to solve real-world problems at scale.Significant expertise in text and multimedia classification projects, including training data acquisition, evaluation methodologies, and addressing challenges like dataset shift or extreme class imbalance.Familiarity with modern deep-learning frameworks and unsupervised learning techniques.Leadership & Management10+ years of experience managing high-performing teams (including managers), with a proven ability to develop talent and foster team cohesion.Strong ability to communicate complex quantitative analyses clearly to both technical and non-technical audiences.Tools & FrameworksProficiency in Python, SQL, machine learning libraries/frameworks, and cloud-based solutions.Experience with MLOps practices or comparable methodologies.Soft SkillsExceptional communication skills for engaging stakeholders across technical and non-technical domains.Ability to align global teams under a unified vision while maintaining operational efficiency.Preferred CompetenciesExperience implementing Agile/Scrum methodologies within matrix organizations.Familiarity with crowdsourcing platforms and quality control processes.Strong balance of technical expertise with strategic business acumen.This position is ideal for a visionary leader who combines deep technical knowledge with exceptional leadership skills to drive innovation while delivering measurable impact across the organization.