Integral Ad Science

Staff Data Scientist

Posted Yesterday

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New York, NY

7+ Years Experience

AdTech • Big Data • Digital Media • Marketing Tech

IAS is a global media measurement and optimization platform.

The Role

As a Staff Data Scientist, you will lead machine learning projects, integrate data for production-ready models, collaborate cross-functionally, and drive innovations in programmatic advertising, while effectively communicating insights to stakeholders.

Summary Generated by Built In

As a Data Scientist at IAS, you will be part of a team that is a center of innovation for the company and a major contributor to the company's core products. You’ll tackle complex challenges that impact the entire Data Science function, with a particular focus on enhancing ad performance and optimization through advanced machine learning techniques.

The ideal candidate has a track record of delivering deep learning-based models at scale, enjoys working with cross-functional commercial and technical partners to deliver solutions within a timeline, and brings innovative solutions to complex problems with a desire to improve the status quo.

What you’ll get to do:

Scope and Develop ML Projects: Lead the identification and execution of machine learning projects
Data Integration and Model Development: Integrate diverse data sources to build and deploy production-ready ML models and recommendation systems that enhance ad targeting, placement, and performance.
Innovative Solutions: Apply machine learning to novel problems in programmatic advertising, pushing the boundaries of what’s possible.
Cross-Functional Collaboration: Work closely with engineers and commercial teams to seamlessly integrate ML solutions into broader engineering workflows, ensuring alignment with business objectives.
Leadership in Model Development: Spearhead the development of proprietary AI models tailored for programmatic ad optimization, directly contributing to revenue-generating products.
Stakeholder Communication: Effectively communicate insights from ML models to various stakeholders, including R&D, product teams, and commercial partners, ensuring that technical results translate into actionable business strategies.
Domain Expertise: Establish yourself as a domain expert in programmatic advertising, leading research initiatives and overseeing the end-to-end delivery of client-facing products.

What you’ll need:

Advanced degree (MSc, PhD preferred) in a relevant technical field (machine learning, computer science, statistics, mathematics etc)
8+ years of industry experience, with technical leadership, and experience guiding ML projects from start to finish
Experience with at least one scripting language such as Python
Familiarity with relational databases and SQL
Experience with source control workflows and deploying ML models in production
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Experience distilling product requirements into problem definitions, dealing with ambiguity and competing objectives
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Deep curiosity and a love of problem solving

What puts you over the top:

Practical experience with programmatic advertising and the bid stream
Experience in building recommendation systems
Experience working with distributed computing tools (Hadoop, Spark, Hive, etc.) and cloud platforms (AWS, GCP)

New York Applicants: The salary range for this position is $135,100 - $231,600. Actual pay may vary based on experience or geographic location.

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.

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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