Senior Data Scientist, ZoomInfo

• 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

• 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
• 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
• 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

• Benefits for the Best You - 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
• Base Pay - We attract and retain the best talent with competitive compensation that aligns with industry benchmarks and merit programs yearly for promotions and salary increases based on performance, time in role, and position to market
• Bonus - When you crush it, we like to celebrate! Bonuses are awarded annually in connection with company and individual performance
• Equity - We offer each employee a generous equity award in the form of RSUs, so they can directly feel the results and success of their hard work
• Vacation & Time Off - We know everyone's needs are different so we offer flexible paid time off plans including an unlimited vacation option for many employees
• Hybrid Working Model - We offer flexible hybrid remote working models to promote equity, employee wellness, and work life balance

Total funding: $7m

It was only a few years ago when B2B sales teams relied on warm introductions and contact books. Now, cloud-based CRM, automation and Big Data are critical tools for any selling process. ZoomInfo’s B2B contact base has played a massive part in that journey.