About the Role
As a Lead Data Scientist, you will be responsible for owning and delivering solutions across multiple charters, formulating well-scoped problem statements, and driving them to execution with measurable impact.
Responsibilities
- Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution.
- Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data.
- Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance.
- Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries.
- Lead experimental design for usability improvements and user growth, leveraging statistical rigor.
- Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality.
- Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems.
- Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences.
- Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams.
- Conduct research collaborations with premier colleges and universities.
- Attend conferences and publish research papers.