Staff Data Scientist

Requirements

• Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years of relevant experience and a demonstrated track record of leading cross-team technical strategy and delivering organization-level impact
• Deep expertise in deep learning and broad fluency across the modern ML toolkit, with strong familiarity with optimization methods
• Proven ability to architect and deliver complex, production-grade ML systems that operate at scale
• Strong track record of nurturing DS/ML projects to maturity with significant business impact, including supporting and improving those systems beyond initial deployment
• Mastery of probability and statistics, especially techniques that scale to massive datasets
• Strong Python and SQL skills; experience with ML frameworks such as TensorFlow or PyTorch
• Strong communication and presentation skills, including proficiency in conveying complex technical concepts to both technical and non-technical audiences
• Track record of cross-team technical leadership and mentorship of senior data scientists and technical partners
• Experience working with a cloud platform like GCP/AWS/Azure, with emphasis on GCP and the Vertex AI platform
• Experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow
• Familiarity with other programming languages such as Java and Go
• Experience working in digital media, marketing technology, or advertising technology — especially in marketplace, auction, or exchange systems
• Track record of setting technical standards or best practices adopted beyond a single team
• Experience representing data science capabilities or strategy in cross-functional forums

Benefits

• Paid Time Off
• 401k Matching
• Retirement Plan