conviva · Foster City, California, United States
Skills: Python
Conviva is the experience analytics platform for AI agents, apps, and streaming. Conviva pioneered quality of experience measurement for streaming video and has supported live digital experiences across 20 Super Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are running, and connects that experience to revenue, retention, and risk. We are looking for a Data Scientist with a strong foundation in Machine Learning, Algorithms, and experience with AI-native development to help drive our AI Initiatives and contribute to the development of our Real-Time Analytics Platform. This is a hands-on, technically deep role ideal for individuals with a background in Computer Science or Statistics who are passionate about building scalable, intelligent systems — and who actively leverage AI tools to accelerate their work. What Success Will Look Like: Design, build, and optimize ML models and solutions — spanning traditional statistical ML, neural networks, and deep learning — to solve real-world problems in large-scale, real-time digital performance analytics. Develop innovative approaches for predictive modeling, anomaly detection, and automated alerting using time series and other complex datasets. Apply the full algorithm spectrum: from classical methods (regression, tree-based ensembles, clustering) to advanced deep learning architectures (transformers, LSTMs, CNNs) as the problem demands. Support AI initiatives including designing AI-driven alerts and contributing to AI roadmaps. Develop POC code and implement ML solutions that improve product capabilities — using AI coding tools (e.g., Claude, Cursor) natively to accelerate prototyping, code review, and iteration cycles. Process and analyze large-scale data using Ray and Spark. Collaborate with cross-functional engineering and product teams to integrate models into production systems. Stay…
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