Lead Data Scientist

This role leads the data science and AI team, driving the development of advanced machine learning models for player personalization, dynamic difficulty adjustment, and fraud detection. Responsibilities include setting the technical roadmap, mentoring scientists, and collaborating with engineering to deploy models at scale. The ideal candidate has deep expertise in ML and experience leading AI initiatives in gaming or similar industries.

Builds and deploys scalable machine learning models on the AI Platform Team, focusing on ad creative and campaign optimization. Owns projects end-to-end, from problem framing and data exploration to modeling, validation, and production monitoring, working with image, video, audio, text, and structured performance data. Requires 5+ years of data science experience, 2+ years with cloud infrastructure (AWS/GCP), and fluency in Python with modern ML frameworks.

This role leads data science efforts for product development, using data to inform feature decisions and improve user experience. The candidate will work on analytics, experimentation, and machine learning models to drive product growth.

This role is focused on managing and growing relationships with key clients of Rockerbox, a marketing analytics platform acquired by DoubleVerify. The Senior Customer Success Manager will ensure client satisfaction, drive product adoption, and identify upsell opportunities. Strong experience in customer success within the marketing analytics or ad tech space is required.

This role involves designing, implementing, and maintaining scalable cloud infrastructure for DoubleVerify's ad verification platform. The Senior DevOps Engineer will automate deployment processes, manage Kubernetes clusters, and ensure high availability and performance. Strong experience with AWS, Terraform, and CI/CD pipelines is required.

This role involves creating and maintaining technical documentation for DoubleVerify's ad verification and analytics products. The Technical Writer will collaborate with engineering and product teams to produce clear, accurate user guides, API references, and release notes. Strong writing skills and the ability to translate complex technical concepts into accessible documentation are essential.