Data Scientist
convivaFoster City (CA)
About the role
Overview:
In this role you will design and deploy ML-driven solutions for real-time analytics at Conviva, helping to advance AI initiatives and the Real-Time Analytics Platform. You’ll work with cross-functional teams to translate complex data into scalable models, automated alerts, and production-ready systems. You’ll leverage AI tools to accelerate prototyping and deeply engage with time-series data and streaming analytics. This is a high-impact, hands-on opportunity to shape analytics at scale and improve digital experiences. Compensation / Benefits equity benefits competitive compensation
Responsibilities:
Design, build, and optimize ML models and solutions for large-scale, real-time analytics Develop predictive models, anomaly detection, and automated alerting using time-series data Apply the full algorithm spectrum—from classical ML to deep learning architectures Support AI initiatives and contribute to AI roadmaps Develop POC code and production-grade ML solutions using AI coding tools to accelerate development Process and analyze large-scale data with Ray and Spark Collaborate with cross-functional engineering and product teams to integrate models into production Stay current with AI/ML trends and bring innovative approaches to the team
Key requirements:
PhD in Computer Science, Statistics, or related field; or MS with 3+ years of applied ML/data science experience Strong foundation in traditional ML, deep learning, and statistical modeling Proficiency in Python (primary) and/or Scala for production data science Proven ability to ship from POC to scalable, integrated ML solutions AI-native developer experience using tools like Claude, Cursor, GitHub Copilot Thrives in fast-paced, ambiguous environments and collaborates across teams collaboration across teams ability to work in fast-paced, ambiguous environments curiosity and continuous learning Python Scala or similar Ray
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