Senior/ Lead Data Scientist
NewBe an early applicant- lead advanced analytics, machine learning, and generative AI initiatives across the full lifecycle—from data exploration to production deployment.
- apply modern MLOps practices (automated pipelines, CI/CD for ML, scalable model serving, monitoring) and integrates models into production via APIs and microservices.
- Manage and develop a team of data scientists, guiding their work, and setting technical quality standards.
- Collaborate with engineering and product teams is essential, alongside translating analytical outcomes into clear, actionable recommendations that influence strategic decisions.
Requirements
- 3-7 Years of experience.
- strong experience with lakehouse architectures (e.g., Delta Lake, Iceberg, Spark) and participation in Data Mesh/Data Grid environments to deliver robust, domain-oriented data products, in addition to driving GenAI experimentation and fine-tuning.