Senior Data Scientist

At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo.

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 ZoomInfo’s 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 you’re passionate about AI-driven recommender systems, NLP, and predictive signal modeling, apply today!

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.$167,760—$230,670 USD

About us: 

ZoomInfo (NASDAQ: ZI) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

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, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities 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 protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.