Job Title: Data Scientist - Time Series Forecasting About the Role: Data Scientist to lead the design and deployment of time series models forecasting website and app traffic at daily, weekly, and monthly levels. This is a high-impact, cross-functional role within a media organization, collaborating with teams across revenue, editorial, and product. Key Responsibilities: Lead forecasting projects for monetizable traffic Build and deploy models at various time scales (daily, weekly, monthly) Audit and improve existing models Collaborate with stakeholders across journalism, commercial, and revenue teams Ensure models are production-ready using modern pipelines and tools Required Experience: Proven track record in time series forecasting (e.g., ARIMA, Prophet, LSTM) Strong experience with large datasets (e.g., traffic, engagement metrics) Model deployment experience in production environments Key Skills: Programming: Python (strong), SQL Cloud Platforms: GCP (BigQuery), AWS Deployment Tools: Airflow, DBT, GitHub Collaboration Tools: JIRA, Slack, Notion Strong understanding of model evaluation (RMSE, MAPE, cross-validation)