Senior Data Scientist — Computer Vision & NLP

Applies advanced statistical modeling and machine learning to marketing attribution and measurement data, driving insights for Rockerbox clients.

This senior engineering role focuses on building and scaling the data platform for Rockerbox, handling large-scale data ingestion and processing. The engineer will design data pipelines, optimize performance, and ensure data quality for analytics and product features.

This senior software engineering role focuses on developing and maintaining Rockerbox's core product features. The engineer will build scalable services, integrate with data pipelines, and collaborate with product and data teams to deliver high-quality solutions.

This role focuses on developing and deploying advanced computer vision and NLP models to solve complex problems in digital advertising measurement and verification. The Senior Data Scientist will work on cutting-edge AI solutions, leveraging large-scale datasets to improve ad fraud detection, brand safety, and viewability. Responsibilities include designing experiments, building prototypes, and collaborating with engineering teams to productionize models.

This senior customer success manager role is responsible for driving client retention and growth by building strong relationships with key accounts and ensuring they derive maximum value from Rockerbox's marketing analytics platform. The manager will lead onboarding, conduct business reviews, and collaborate with internal teams to address client needs and upsell opportunities.

This senior DevOps engineer role involves designing, implementing, and maintaining Rockerbox's cloud infrastructure to ensure high availability and scalability. The engineer will work with AWS, Kubernetes, and infrastructure-as-code tools to automate deployments and optimize system performance.

This technical writer role is responsible for creating and maintaining clear, accurate documentation for Rockerbox's analytics platform, including API references, user guides, and integration tutorials. The writer will collaborate with engineering and product teams to ensure documentation aligns with product features and user needs.