Data Science - Time Series and Forecasting

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)