Sr. Data Scientist I - Rockerbox

Apply advanced analytics and machine learning to solve complex problems in ad measurement and attribution.

This lead data scientist role drives advanced analytics and machine learning initiatives at Rockerbox. The scientist will develop models for marketing attribution, customer journey analysis, and predictive analytics. Responsibilities include leading a team, designing experiments, and translating complex data into actionable business insights.

This role focuses on developing and deploying advanced computer vision and NLP models to solve complex business problems. The Senior Data Scientist will work on cutting-edge AI projects, leveraging deep learning frameworks and large-scale data to drive innovation.

This senior engineering role focuses on building analytics and data platform features at Rockerbox. The engineer will develop backend services and data pipelines that power customer-facing analytics dashboards and reporting. Key tasks include optimizing query performance, ensuring data accuracy, and integrating with various marketing data sources.

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.