ZoomInfo is seeking a Senior Data Scientist to join our Data Science team to develop AI models that power our industry-leading B2B sales and marketing intelligence platform. If you are a visionary data scientist with expertise in Recommender Systems, Language Understanding, and Semantic Search, this is an exciting opportunity to shape how businesses identify and act on the most valuable market signals.

About our Team

Our mission is to unlock the full potential of ZoomInfos extensive B2B data by applying ML and Generative AI to extract meaningful topics, trends, and entities that optimize the full Go-to-Market stack. We combine deep expertise in modern AI techniques, NLP, NER, and iterative methodologies to develop high-impact AI-powered data products. Our solutions help customers understand market trends, detect emerging topics, and identify key business signals.

We collaborate closely with data scientists, product managers, ML engineers, and domain experts to build state-of-the-art NLP models that drive customer engagement and sales intelligence. Our work powers enterprise-scale AI applications that extract insights from vast amounts of unstructured text.

What you will do

As part of our Data Science team, you will be working on developing and deploying advanced AI models that extract, classify, and structure unstructured text data to support key business use cases:

• Develop and optimize recommender systems that suggest the most impactful signals, actions, and contacts to our users.
• Leverage Large Language Models (LLMs) to enhance entity recognition, relationship mapping, and trend detection from unstructured text, including news articles, emails, call transcripts, and customer interactions.
• Build scalable ML pipelines to process and score signals in real time, ensuring high performance and accuracy in production.
• Collaborate with ML engineers to deploy models using cloud infrastructures  and distributed computing frameworks (Spark, Ray, etc.).
• Continuously evaluate and refine models based on user feedback, A/B testing, and real-world performance metrics.
• Stay ahead of the latest research in recommender systems, GenAI, and AI-driven scoring models, ensuring our solutions remain cutting-edge and industry-leading.

What you will bring

• MS + 5 years or PhD + 3 years in a quantitative field (Computer Science, AI, ML, EE, Physics, Applied Math, etc.).
• Deep expertise in Recommender Systems, Scoring Models, and Signal Ranking Algorithms.
• Strong experience in Language Understanding and Information Retrieval using encoder-only or decoder-only models.
• Hands-on experience with ML frameworks (PyTorch, TensorFlow, Hugging Face, Transformers).
• Familiarity with LLM fine-tuning techniques and model optimization (distillation, reinforcement learning with human feedback, model compression).
• Experience developing scalable ML pipelines using cloud tools like Dataproc, EMR, Airflow, FAISS, Pinecone, or equivalent.
• Strong ability to communicate complex ML concepts to cross-functional teams and business stakeholders.
• Proficiency in Python, SQL, and distributed computing frameworks (such as Spark and Ray).
• A data-driven mindset, capable of exploring vast datasets to extract meaningful insights and drive business impact.

Why Join Us?

• Be part of a high-impact, cross-functional data science team tackling challenging text analytics problems.
• Opportunity to lead innovative AI/ML initiatives that enhance customer intelligence and decision-making.
• Competitive compensation, benefits, and opportunities for career growth.

 If youre passionate about AI-driven recommender systems, NLP, and predictive signal modeling, apply today!