Head of Data Science

As the Head of Data Science, you will be responsible for setting the strategy and vision for the team that is a center of innovation and a major contributor to the company's core products. Our goal is to become all-knowing in media and we’re looking for a hands-on leader to guide data science teams to deliver world-class products. This role will be key in leading and uniting a global team, fostering a cohesive culture, and ensuring alignment across regions.

What you’ll get to do:

• Lead the Data Science Vision & Roadmap – Define and execute a strategic roadmap for AI and machine learning, ensuring alignment with IAS’s broader business and product goals

• Drive Innovation – Research and develop next-generation AI and data science solutions that enhance advertising verification across brand safety, fraud detection, and media quality.

• Scale and Optimize Data Science Operations – Implement best practices for model development, deployment, and monitoring within cloud-based production environments.

• Lead & Develop a Global Team – Manage and mentor a high-performing data science team along with its day-to-day operation in supporting and maintaining existing products, allocating resources, and collaborating on roadmap.

• Define project scope  – Scope work and projects based on classification techniques and network analysis, working in coordination with the product management team. 

• Collaborate Cross-Functionally – Partner with product management, data engineering, and broader engineering teams to integrate machine learning models seamlessly into IAS’s technology stack.

• Communicate Impact & Strategy - Communicate data science concepts and issues to a variety of stakeholders – technical and non-technical – across the organization, including sales, marketing, customer support, the senior leadership team, and occasionally participating in client meetings

• Research and innovate - Continuously explore and integrate the emerging AI landscape and machine learning trends to keep IAS at the forefront of industry innovation

You should apply if you have most of  this experience:

• Advanced degree in a relevant technical field (machine learning, computer science,
  statistics, physics, mathematics, or related field)

• 15+ years of  industry experience in data science and analytics, applying machine learning
  techniques to real-world problems

• 10+ years experience in team management (including team managers) and talent development

• Significant experience in text and multimedia classification at large scale in production
  environments, including training data acquisition and management, evaluation
  methodology and practical scenarios like dataset shift, underspecification, extreme class
  imbalance

• Experience in unsupervised learning/network analysis

• Familiarity with modern deep-learning approaches

• Experience with different crowdsourcing platforms, including methodologies for quality
  Control.

• MLOps or comparable experience/related experience

• Working familiarity/past experience with data science tools and technologies: Python,
  SQL, machine learning libraries/frameworks, cloud solutions

• Experience with Agile/Scrum methodologies and in matrix organizations.

• Ability to communicate complex quantitative analysis in a clear, precise, and actionable
  Manner to both technical and non-technical audience

 About Integral Ad Science

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for 

the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.