About the Role
Title: Director, Data Science
Req ID: JR105795
Job Description:
Req ID: JR105795
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.
Director of Data Science
Location: Waltham, MA or Bethesda, MD or United States (Remote)
About the Role:
We’re looking for a hands-on Director of Data Science to lead our growing team in building AI-powered solutions that drive our sales and marketing products. You’ll guide a team of 9-10 data scientists (growing to 15) across the US and Canada, working closely with ML engineers, product teams, and engineering leads to deploy scalable AI solutions.
What You’ll Do:
- Lead R&D efforts in data science and AI, focusing on recommendation systems, search, and information retrieval capabilities
- Guide the team in building and deploying production-ready models and data pipelines
- Work closely with product owners and engineering leads across multiple pods
- Present data science capabilities both internally and externally, including publishing papers
- Mentor and develop data science talent while growing the team
- Drive best practices for scalable AI/ML solutions
- Oversee the integration of unstructured data into various ML models
What You’ll Need:
- Master’s or PhD in Computer Science, Engineering, Mathematics or related field
- 5+ years industry experience in data science after degree completion
- 3+ years managing data science teams in product-focused environments
- Deep expertise in recommendation systems, NLP, and knowledge graphs
- Strong coding skills and hands-on technical leadership experience
- Track record of deploying complex ML and GenAI systems in production
- Experience leading cross-functional teams in fast-paced environments
Technical Skills:
- Recommendation systems
- Natural Language Processing and Gen AI (Language understanding, topic and sentiment modeling, semantic search)
- Knowledge graphs
- RAG (Retrieval Augmented Generation)
Why You’ll Love It:
- Work with unique, heterogeneous datasets
- Build LLM and AI models with direct revenue impact
- Lead innovative work in knowledge graph applications
- Join a fast-growing team focused on AI-driven solutions
- Shape the technical direction of key products