Senior Data Scientist II

Design, validate, and productionize forecasting and planning models that convert sales targets and media investment into digital marketing goals, website traffic forecasts, and budget guidance. Partner with marketing, sales, analytics, and engineering teams to deploy and monitor models, assess changing business conditions, and communicate recommendations.

Responsibilities

• Design, build, and validate statistical and machine learning forecasting and planning models.
• Translate sales targets and media spend plans into digital marketing goals, website traffic forecasts, and performance projections.
• Engineer and validate features using sales, media, digital traffic, and business data.
• Identify and integrate data sources to improve forecast accuracy and reliability.
• Partner with engineering to deploy, monitor, retrain, and troubleshoot production models.
• Assess changes in media spend, campaign strategy, seasonality, or demand and communicate model findings and recommendations.

Required Skills

• Python
• Statistical programming
• Machine learning
• Forecasting and time series analysis
• Feature engineering
• SQLCausal inference and econometrics
• Model deployment and productionization
• Cloud platforms (AWS S3, EC2, Redshift, Glue, Sage
• Maker)
• Py
• Torch, Tensor
• Flow, Scikit-Learn, or Spark