Staff Applied Scientist

What you'll do

• Develop ML/deep learning based models end-to-end for forecasting needs throughout 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 development of ML and DL solutions using open-source tools and cloud computing platforms
• Deep understanding of statistics and ML/DL models
• Experience building deep learning models at large scale
• Experience collaborating with cross-functional teams including 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 and ability to innovate in model development
• BS/MS with 8+ years or PhD with 6+ years experience in DS or ML role involving product lifecycle from ideation to production
• Experience with PyTorch or TensorFlow preferred
• Ability to communicate effectively with diverse stakeholders
• Experience running heavy workloads on distributed computing clusters (EMR or Databricks) preferred
• Proficient in Python; strong Spark skills are a plus

Tech stack

Benefits