Senior Data Scientist - ML & Algorithms Focus
Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence—linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust.
We are looking for a Data Scientist with strong foundation in Machine Learning and Algorithms to help drive our AI Initiatives and contribute to the development of our Real-Time Performance Analytics Platform. This is a hands-on, technically deep role ideal for individuals with a background in Computer Science or Statistics and a passion for building scalable, intelligent systems.
You’ll work on developing and deploying advanced ML models - including predictive modeling, anomaly detection, and time series forecasting within a high-performance, production-grade environment.
What Success Will Look Like:
- Design, build and optimize machine learning models and solutions to solve real-world problems in large-scale real-time digital performance analytics.
- Develop innovative approaches for predictive modeling, anomaly detection, and automating alerting using time series and other complex datasets.
- Support AI initiatives, including designing AI-driven alerts and contributing to AI roadmaps.
- Work with time series data and other complex datasets to develop predictive and anomaly detection models.
- Develop proof-of-concept (POC) code and implement ML solutions that improve product capabilities.
- Process and analyze large-scale data using Ray and Spark.
- Collaborate with cross-functional teams, including engineering and product teams, to integrate models into production systems.
- Stay up to date with industry trends in AI, machine learning, and data science to bring innovative ideas to the team.
Who You Are and What You've Done:
- PhD in Computer Science, Statistics or a related technical field; or MS in Computer Science/Statistics with 3 + years of experience in applied ML or data science roles.
- Strong foundation in machine learning, statistical modeling, and algorithms with experience in predictive modeling and data analysis.
- Proficiency in coding and programming for data science applications (e.g., Python, Scala, or similar languages)
- Ability to develop POC code and implement ML models into scalable solutions.
- Thrive in fast-pace, ambiguous environments and effectively collaborate across teams.
What Would Make You Stand Out (Bonus Points):
- Experience with real-time data processing and analytics.
- Familiarity with time series analysis and forecasting techniques.
- Background in building AI-powered alerts, anomaly detection, or similar AI driven applications.
- Familiarity with cloud-based ML deployment and MLOps best practices.
The expected salary range for this full-time position is $170,000 - $200,000 + equity + benefits. Compensation is determined by numerous factors such as your qualifications, experience, relevant education or training, and work location.