Conviva is looking to hire a Data Scientist to help drive AI Initiatives and contribute to the development of their Real-Time Performance Analytics Platform. The goal is to build scalable, intelligent systems that provide real-time performance analytics to transform customer interactions into actionable insights, connecting experience, engagement, and technical performance to business outcomes.
Requirements
- 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.
- 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.
Responsibilities
- 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.
Other
- 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.
- Thrive in fast-pace, ambiguous environments and effectively collaborate across teams.
- The expected salary range for this full-time position is $170,000 - $200,000 + equity + benefits.
