Conviva is the first and best place to understand and optimize digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry—capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real-time and at a fraction of the cost of alternative solutions. Conviva computes quality of experience across all users and all devices, in real time.

We combine user actions with app and system responses to give your technology, business, and operations teams AI-powered insights into any issues impacting user experience and engagement. Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue. We are looking for a Senior Data Scientist with a strong foundation in Machine Learning, Algorithms , and experienced 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. , 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 current with industry trends in AI/ML and bring innovative approaches to the team.

Who You Are

and What You've Done: PhD in Computer Science, Statistics, or related field; or MS with 5+ years of applied ML/data science experience. Strong foundation in: Traditional ML : regression, classification, ensemble methods, clustering, dimensionality reduction Deep Learning & Neural Networks : CNNs, RNNs/LSTMs, Transformers, attention mechanisms Statistical modeling & algorithms : optimization, Bayesian inference, probabilistic modeling Proficiency in Python (primary), Scala, or similar languages for production-grade data science. Demonstrated ability to ship — from POC to scalable, integrated ML solution.

AI-native developer : actively uses AI tools (Claude, Cursor, GitHub Copilot, or equivalent) in daily workflow for coding, debugging, and solution design — not just awareness, but habitual, productive use. Thrives in fast-paced, ambiguous environments and collaborates effectively across teams. What Would Make You Stand Out (Bonus Points): Experience with real-time data processing and streaming analytics .

Deep familiarity with time series analysis — forecasting, change-point detection, seasonality decomposition. Background in building AI-powered alerting, anomaly detection, or intelligent monitoring systems. Familiarity with cloud-based ML deployment and MLOps practices (model versioning, monitoring, retraining pipelines).

Experience fine-tuning or integrating LLMs/foundation models into analytical or product workflows.