Dan Schonfeld Email & Phone Number

New York, NY, US

San Jose, CA, US

Promoted to lead the eBay Buyer Experience organization's Item Recommendation Algorithms team in an effort to accelerate GMB growth across the company.

San Jose, California, US

• Lead team of 10 machine learning engineers to develop state-of-the-art recommendation systems for eBay inventory of 1B+ items. Serve real-time recommendations to 200M+ global customers in milliseconds.
• Leveraged LLMs to engineer new ranking model features and recommendation candidate sets. Deployed updates to production and orchestrated online A/B test; achieved $15M+/year increase in ads revenue.
• Revamped hiring process for ML engineers to hire better talent faster. Sourced and hired 5 top engineers in just 2 months during summer recruiter shortage to build eBay’s next-generation recommender system.

Randolph AFB, TX, US

• Led team of 20 data scientists, data engineers, and software engineers to develop production-level machine learning solutions (NLP, data fusion, event forecasting, anomaly detection). Deployed visualization dashboards.
• Led 5 data scientists to develop computer vision ConvNets (semantic segmentation, object detection). Launched automated detection framework and interfaced with customers to validate detections / interpret results.
• Managed $140M+ / 130-engineer program tasked with corporate-wide future space infrastructure study evaluating satellite performance; spurred major satellite constellation design changes worth $20B+.

Randolph AFB, TX, US

• Directed 140 analysts; defined training requirements and project success criteria. Planned and executed 42 on-site projects for external customers; achieved 50% reduction in cyber intrusions, gained 5 new clients.
• Led agency-wide customer engagement effort, briefed executive stakeholders on risk mitigation strategies.
• Managed 40 handpicked Air Force cyber analysts to deliver 12 successful analytics product launches.
• Integrated automatic anomaly detection capabilities into corporate analysis tools. Deployed tools on customer networks; unveiled 10 new adversary attack vectors, 33% decrease in hours required per project.
• Mentored analysts on growth / career progression; team earned 8 promotions and 20 performance awards.

Randolph AFB, TX, US

• Implemented custom distributed computing framework (PySpark, Hadoop) for 10 petabyte dataset.
• Developed Random Forest classification model to discover malicious web traffic; identified and blacklisted 5,000 instances of botnets targeting the Department of Defense (DoD) network boundary.

Loudon, VA, US

• Led team of 8 data scientists to develop and launch Series A startup’s core matching algorithm product that recommends relevant jobs to data professionals using text analytics and advanced NLP methodology.
• Created recruiter support tool to scrape the web for qualified candidates; enabled 2 successful placements.

Cambridge, MA, US

• Developed dynamic machine learning models, improving commercial airlines’ severe weather route predictions at 12 U.S. airports by 20%. Provided optimized aircraft trajectories to 30 FAA operators.

Master Of Science (M.S.), Operations Research

Bachelor Of Science (Bs), Operations Research