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Our mission is to unlock the potential of ZI’s B2B data by applying machine learning and Generative AI to optimize the Go-to-Market stack. We blend product thinking, AI expertise, and iterative methodologies to create data products that drive intelligence across ZI.
By adapting existing solutions and fostering a creative, collaborative culture, we work closely with teams across the organization to tackle key business challenges. The result is a range of AI products directly impacting our customers’ Go-to-Market success.
Join our team and be part of shaping the future of data-driven Go-to-Market innovation.
General Function/Role Purpose:
We are seeking a Principal AI Data Scientist to join our AI and Data Science team. In this role, you will play a strategic leader who applies deep expertise in the business domain to guide data initiatives that have a transformative impact on the entire organization. As a recognized industry authority, the Principal Data Scientist translates complex business challenges into actionable data science strategies, shaping the organization's data-driven culture and decision-making processes.
Primary Duties:
Applies visionary business insight to identify and solve pivotal data science challenges with long-term organizational impact. Leads the development of novel methodologies and influences key stakeholders to achieve transformational results. Serves as an authoritative voice guiding the firm’s strategic data science direction in product development and technological vision. Represents the company in industry forums and shapes best practices in the field. Pioneers innovative AI/ML techniques to solve critical business problems. Sets technical direction and standards for AI systems across the organization, ensuring alignment with overarching business objectives. Leverage large language models (LLMs) and generative AI to build innovative text summarization and reasoning solutions. Develop entity resolution and record linkage solutions across diverse data sources. Design and implement knowledge graph solutions for complex relationship mapping Collaborating with engineering teams, we deploy and integrate language models into production systems, ensuring scalability, reliability, and efficiency. Build innovative new AI solutions, enhance existing models, drive continuous improvement, and keep us ahead of industry trends. Promote a culture of continuous learning and knowledge sharing within the team. Stay up to date with the latest developments in AI, deep learning, and NLP research.Knowledge, Skills, and Abilities Required
Master’s degree with 5+ years of experience or a Ph.D. with 2+ years of experience in a quantitative field, such as Computer Science, Engineering, Mathematics, or a related discipline. Proven experience driving or guiding the vision for data science and machine learning initiatives, with a background as a technical lead in previous roles. Extensive knowledge in statistical modeling, machine learning algorithms, and NLP/AI techniques, with the ability to apply them to solve complex business problems. Strong proficiency in programming languages such as Python and SQL and experience in big data technologies and distributed computing frameworks (e.g., Spark). Experience with modern ML/DL Frameworks (PyTorch, TensorFlow, Hugging Face). Experience with large language models, including prompt engineering and fine-tuning. Proven experience developing end-to-end ML pipelines, including data preparation, model training, and inference, using cloud-managed tools (Dataproc, EMR) and orchestration tools. Demonstrated experience in architecting and implementing scalable data and model pipelines, focusing on performance, maintainability, and scalability. Excellent communication and storytelling skills, ability to collaborate effectively with cross-functional teams, influence decision-making at all levels of the organization, and convey complex insights to diverse stakeholders. Experience with knowledge graphs and graph databases - an advantage Recent experience with LLM-related libraries and technologies such as RAG, GraphRAG, Agents, etc. - an advantage Publications or contributions to research in LLMs or related fields - advantage#LI-IO1
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About us:
ZoomInfo (NASDAQ: ZI) is the trusted go-to-market platform for businesses to find, acquire, and grow their customers. It delivers accurate, real-time data, insights, and technology to more than 35,000 companies worldwide. Businesses use ZoomInfo to increase efficiency, consolidate technology stacks, and align their sales and marketing teams — all in one platform.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an Equal Opportunity Employer. We are committed to equal employment opportunities for applicants and employees regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic or status protected by applicable law. At ZoomInfo, we also consider qualified candidates with criminal histories, consistent with legal requirements.