onsite
Principal Data Scientist
Principal, Data Scientist
The Principal Data Scientist will lead data science initiatives, delivering impactful solutions across various charters. This role involves mentoring data scientists, designing and optimizing user journeys, building scalable ML pipelines, and collaborating with engineering teams to ensure robust model integration and data reliability.
About the role
About the Role
The Principal Data Scientist will own and deliver solutions across multiple charters, formulating well-scoped problem statements and driving them to execution with measurable impact. This role involves significant mentorship and leadership responsibilities within the data science team, focusing on project planning, execution, and issue resolution.
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.
Skills
Machine LearningBig DataMl Pipelinesexperimental designstatistical rigordata reliabilitySecurityPII guidelinesData Mining