<div><p>ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.</p></div><p>Join ZoomInfos mission to build the next-generation go-to-market platform! ZoomInfo is redefining how 40,000+ revenue teams find, engage, and win customers. As a Senior Data Scientist on our Foundation Data team, youll be the end-to-end owner of critical projects that enhance the quality and reliability of our core datasets. Youll work at the intersection of cutting-edge AI and massive-scale data processing to solve complex entity resolution challenges that directly impact millions of sales and marketing professionals worldwide. You will own core retrieval, NER, and aligned entity-resolution &amp; knowledge-graph initiatives that touch billions of records and serve millions of daily queries.</p> <h2><strong>What Youll Do:</strong></h2> <ul> <li><strong>Invent and productionize Transformer/RAG architectures</strong> that surface the right contact, company, or insight while driving quantization, distillation, and SLM fine-tuning (GTE-Qwen, modern BERT) so models stay fast and affordable at petabyte scale</li> <li><strong>Prototype and launch hybrid dense/sparse retrieval pipelines</strong> on vector DBs to build language-agnostic clustering and classification systems that power our intelligence layer</li> <li><strong>Own high-recall NER models</strong> that tag people, orgs, locations, and industry-specific entities across multi-language text, extracting structured insights from web data to improve our signal detection capabilities</li> <li><strong>Build cross-dataset entity-resolution frameworks</strong> that dedupe and merge hundreds of millions of fragmented company and person records with sub-second latency, creating enriched, unified entities enhanced with knowledge-graph signals</li> <li><strong>Design and implement agentic workflows</strong> with robust evaluation frameworks focused on NER and entity resolution tasks, including large-scale A/B and back-testing plans that close the loop from experiment to KPI uplift</li> <li><strong>Scale ML solutions and drive cross-functional impac</strong>t by partnering with ML engineers to ensure production reliability, translating product goals into measurable ML KPIs, and influencing roadmap and investment decisions while mentoring junior scientists and engineers</li> <li><strong>Drive end-to-end project ownership</strong> from problem definition through deployment, collaborating closely with engineering and product teams to understand business requirements and translate them into scalable ML solutions that enhance foundation data quality across company firmographics, professional demographics, C-suite profiles, and web-extracted signals</li> </ul> <h2><strong>What you bring:</strong></h2> <ul> <li><strong>6+ years hands-on ML/NLP experience</strong> (or 3+ years post-PhD/Masters) with at least two delivered, revenue-impacting products in production environments</li> <li><strong>Deep expertise in modern AI architectures</strong> including transformer stacks (BERT/GPT/T5), RAG systems, vector-based information retrieval, and latency/throughput optimization techniques</li> <li><strong>Proven track record building NER or entity-resolution systems</strong> at 100M+ record scale with experience in record linkage, data deduplication, and knowledge-graph integration</li> <li><strong>Strong applied research capabilities</strong> (PyTorch or TensorFlow) paired with software-engineering rigor (Python, Go/Java a plus) and familiarity with embedding models and vector search technologies</li> <li><strong>Executive communication skills</strong> with ability to persuade technical and non-technical audiences through data-driven storytelling, comfortable owning strategy, budget, and cross-functional collaboration</li> </ul> <p> </p> <p>#LI-Hybrid<br />#LI-VC1</p> <p> </p><div><div><div><p>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.</p> <p>In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits <a href="https://www.zoominfo.com/careers#benefits" target="_blank">here</a>.</p></div><div>Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.</div><div><span>$146,790</span><span>—</span><span>$230,670 USD</span></div></div></div><div><p><strong>About us:</strong> </p> <p>ZoomInfo (NASDAQ: GTM) 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.</p> <p>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 <a href="https://www.zoominfo.com/legal/nyc-local-law-144-notice">here</a>.</p> <p>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.</p> <p> </p> <p>For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.</p></div>