onsite
Lead Data Scientist
Lead Data Scientist
The Lead Data Scientist will own and deliver data science solutions across various charters, mentoring a team of data scientists. This role involves designing and optimizing user journeys, building scalable ML pipelines, and leading experimental design for usability and growth.
About the role
Responsibilities
- Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact
- 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
Skills
Machine LearningMl PipelinesStatistical rigorData reliabilityData Mining