Staff Applied Scientist, Deep Learning Forecasting

What you'll do

• Develop ML/deep learning models end-to-end to support forecasting needs across advertising campaign lifecycle
• Work on signal collection, feature construction, model evaluation and monitoring
• Collaborate with engineering team on signal collection pipeline, model training, deployment and monitoring
• Collaborate with downstream teams to understand forecasting needs and design appropriate models
• Design offline and online model success metrics and use data to drive iterative model improvement

Requirements

• Proficient in machine learning (ML) and deep learning (DL)
• Hands-on experience building deep learning models at large scale
• Experience partnering with cross-functional teams of data scientists, engineers, and product managers
• Familiarity with forecasting domain and application experience
• Knowledge in privacy safe measurement and data storage is a plus
• Data driven mindset with ability to innovate in model development
• BS/MS with 8+ years or PhD with 6+ years experience in DS or ML role
• Experience in deep learning frameworks such as PyTorch or TensorFlow
• Ability to communicate effectively with diverse stakeholders
• Experience running heavy workloads on distributed computing clusters (EMR or Databricks)
• Proficient in Python; strong Spark skills are a plus

Tech stack

Benefits