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)