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Data Science Leader

1 week ago


Irving, Texas, United States Gartner Full time
About the Role
As a pivotal leader in Gartner's Enterprise Data Science & AI department, you will play a crucial role in enhancing data quality through innovative solutions. This includes developing, deploying, and continuously optimizing data science models to drive business success.

Data Quality & Enrichment
Lead data science initiatives to elevate the quality and depth of Gartner's data assets, ensuring high accuracy, reliability, and completeness standards. Take ownership of firmographic and demographic algorithms, leveraging internal data and external sources to refine and enrich enterprise, account, and contact data for significant client impact.

Data Science & AI Model Development and Deployment
Design, develop, and deploy scalable AI models that drive data quality improvements, supporting Gartner's strategic goals and maintaining data integrity across its platforms. Ensure models are robust, well-tested, and capable of integrating new data sources seamlessly to keep pace with evolving business needs.

AI Use Case Prioritization and Strategic Alignment
Identify and prioritize AI use cases with the greatest potential for impact. Collaborate with senior leaders to align AI projects with Gartner's strategic objectives and operational priorities.

Required Skills and Qualifications
Bachelor's degree in Data Science, Computer Science, Statistics, Information Management, or related field; Master's or Ph.D. preferred. 15+ years in data science, AI, data governance, or similar roles, with demonstrated experience in algorithm-driven data enrichment. Expertise in developing and managing data science and AI models, particularly with firmographic and demographic data.