Offer summary

Qualifications:

Master's or PhD in Computer Science, Engineering, Mathematics or related field, 5+ years of 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..

Key responsabilities:

Lead R&D efforts in data science and AI, focusing on recommendation systems and information retrieval capabilities.

Guide the team in building and deploying production-ready models and data pipelines.

Present data science capabilities both internally and externally, including publishing papers.

Mentor and develop data science talent while driving best practices for scalable AI/ML solutions.

Job description

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

We're looking for someone who has seen excellence in action at strong technical companies and can bring those best practices to our team while maintaining the agility needed in our fast-paced environment.

Equal Opportunity Employer

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.

$240,000—$330,000 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.

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