Data Scientist

Integral Ad Science

Integral Ad Science (IAS) is a leader in media measurement and optimization, empowering advertisers and publishers with actionable insights. They are on a mission to ensure ads appear in suitable environments, boosting returns on ad spend through enriched data. The role of Senior Data Scientist sits within their Fraud Team, pushing the frontiers of machine learning to innovate and improve authentication processes.

In this role you can expect to have the responsibilities:

• Drive innovative research to enhance invalid traffic detection accuracy across various platforms.
• Collaborate with the Threat Lab to devise quantitative methods for identifying evolving fraud schemes.
• Develop and communicate automated detection systems, showcasing their predictive and business impacts.
• Own end-to-end projects in a team of machine learning researchers and collaborate across departments.
• Integrate fraud solutions with engineering workflows and respond to incidents.

This role comes with the following benefits:

• Work in a collaborative environment with diverse experts.
• Opportunities for innovation and making a business impact.

This role requires you to have:

• PhD or Master's in a quantitative field such as mathematics, statistics, computer science, or economics.
• 3-5 years of analytical problem-solving experience using ML in business contexts.
• Hands-on expertise in ML system development with end-to-end project ownership.
• Proficiency in advanced ML research, deep learning, SQL, and scripting languages like Python and R.
• Curiosity and commitment to understanding data, narrative storytelling, and scientific methodologies.

You would benefit from having:

• Experience with weak supervision and automated data labeling.
• Understanding of data flow and business outcomes.
• Enthusiasm for collaborative and scientific exploration.

IAS is committed to diversity and inclusiveness, welcoming applicants of all backgrounds. They respect privacy in accordance with California's employment regulations.