Sr. Data Scientist (ML)

Day-to-Day Responsibilities: Partner with Data Engineering, platform, and business stakeholders to identify opportunities where machine learning, AI, and advanced analytics can solve business and operational challenges. Design, develop, test, and evaluate machine learning models and data science solutions. Help transition the organization from traditional dashboards and descriptive reporting toward predictive, intelligent, and AI-enabled solutions. Explore and prototype AI and agentic AI use cases leveraging the team's enterprise data. Work closely with Data Engineers to identify the datasets, pipelines, transformations, and data models required for ML and AI use cases. Perform exploratory data analysis, feature engineering, statistical analysis, and model evaluation. Assess data quality and determine whether datasets are sufficiently complete, accurate, and structured for downstream AI/ML applications. Partner with the broader team around data governance, security, and responsible use of enterprise data within AI solutions. Help establish best practices for taking data science solutions from experimentation and proof of concept toward scalable production environments. Communicate technical findings, model performance, risks, and recommendations to both technical and non-technical stakeholders. Evaluate emerging AI/ML approaches and determine where they can provide practical value to Content Security.