Senior Applied Scientist, Channel Growth

What you'll do

• Develop forecasting models using statistical, machine learning, and deep learning approaches
• Build and optimize pacing algorithms balancing short-term performance with long-term objectives and constraints
• Build custom solutions tailored to unique environment where off-the-shelf models don’t scale effectively
• Collaborate with product teams to understand business goals and translate them into actionable data science solutions
• Work closely with engineering teams to deploy models from prototype to production ensuring smooth integration
• Define success metrics, conduct offline evaluation and online experiments (A/B testing), and measure business impact
• Communicate technical results and tradeoffs clearly to technical and non-technical audiences

Requirements

• Proficient in open-source languages
• Strong passion for enhancing and expanding technical skills
• Hands-on development of predictive models and solutions using open-source tools and cloud computing platforms
• Deep understanding of statistics and machine learning foundations
• Experience building data science solutions at scale
• Track record of owning projects end-to-end from research to production
• Experience partnering with cross-functional teams including data scientists, engineers, and product managers
• BS/MS with 5+ years or PhD with 3+ years experience in data science and machine learning roles
• Experience building ML models in always-on production systems
• Experience working with diverse technologies and data sources
• Strong experience in forecasting, pacing systems, or recommendation systems
• Proficient in Python
• Hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
• Experience running heavy workloads on distributed computing clusters (EMR or Databricks)
• Experience leveraging Spark to work with large datasets
• Preferred experience in programmatic advertising and/or real-time auctions

Tech stack

Benefits