Design and implement our greenfield ML platform 10Xing the Data Science team’s impact
Work closely with Data Scientists to understand their development needs
Work closely with Stakeholders to understand the business problems driving model deployments and how models can augment their workflows
Assess and integrate cutting-edge software and practices in Data Science and MLOps.
Manage deployment and contribute to models driving Paramount+’s global, financial forecasts
Design and implement Paramount’s model deployment platform
Design and implement robust monitoring, logging, alerting, and observability of ML deployments
Design and implement UIs that enable a variety of stakeholders to interact with DS models
Drive adoption of best practices for CI / CD workflows tailored to Data Science
Drive adoption of agentic workflows across Data Science and the larger Paramount organization

3+ years experience in Data Science and ML Engineering.
Deep experience developing as a team in Python
Deep experience designing and implementing MLOps platforms in a cloud environment
Deep experience implementing CI/CD workflows that manage model deployments
Experience developing containerized applications
Ability to innovate without over-engineering
Familiarity with well-known statistical and ML models and methods
Strong detail orientation with a penchant for deployment reliability
Must successfully pass a background check
Experience integrating LLMs into existing business processes
Experience working at Web scale
Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs).

Senior Data Scientist

Key skills