Senior Director, Data Science

As a Senior Director, 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

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at [email protected].

To learn more about us, please visit http://integralads.com/ 

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to [email protected]. We will get back to you if there's interest in a partnership.

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