Summary
Christopher Hefele is a Senior Staff Data Scientist and seasoned systems engineer with nine years focused on data science and over two decades of telecom and network systems experience. At Warner Bros. Discovery he applies ML, causal inference and LLMs to problems from box office forecasting to churn reduction and content optimization for streaming and broadcast. He combines hands-on modeling (Python, R, PySpark, DataRobot) with production data engineering on Snowflake, Databricks and AWS, and a strong background in SDN/NFV, cloud automation and platform design from his AT&T career. Christopher has a track record of turning research into production—winning internal ML hackathons, prototyping intelligent document processing, and contributing patented systems-level innovations earlier in his career. Based in the New York metro area, he pairs quantitative rigor (MS EE, MBA) with practical product-minded engineering that bridges studios, operations and platform teams. An underappreciated strength is his ability to translate complex causal and high-dimensional modeling into actionable business metrics for content growth.
9 years of coding experience
24 years of employment as a software developer
MBA, MBA at Rutgers University - Newark
MS Electrical Engineering, MS Electrical Engineering at Lehigh University