Lead Data Scientist ( GCP, Big Query)
Job Summary
Role Summary
The Senior Data Scientist is responsible for designing developing and operationalizing advanced data models and AI solutions within GCP. This role ensures scalability robustness and alignment with enterprise architecture.
Data Preparation & Modeling
Collect validate clean and structure large-scale datasets.
Ensure data quality and modeling readiness within GCP.
Develop and optimize scalable data models.
Methodology & Knowledge Transfer
Shadow project team to learn modeling methodologies.
Translate business expert knowledge into internal standards.
Technical Review & Architecture Alignment
Challenge and evaluate modeling approaches.
Assess scalability architectural fit and pipeline integration.
Model Scaling & Implementation
Lead scaling and deployment across categories.
Coordinate with business and engineering teams.
Monitor performance and lifecycle management.
Qualifications :
Overall 8 yrs of experience
Technical Skills
- Cloud Platforms
- GCP (BigQuery Cloud Storage Cloud Composer IAM)
- Machine Learning & AI
- Vertex AI (pipelines feature store model registry endpoints monitoring)
- Data Engineering
- SQL (BigQuery) ETL/ELT schema design data validation
Programming
- Python (Pandas NumPy PySpark/Dataflow optional)
- Web Crawling & Competitive Intelligence
- Experience building web scrapers for competitor monitoring automated data extraction and market intelligence workflows.
- Version Control & CI/CD
- Git CI/CD workflows for ML environments
Remote Work :
No
Employment Type :
Full-time
Key Skills
About Company
METRO is a leading international wholesale company with food and non-food assortments that specialises in serving the needs of hotels, restaurants and caterers (HoReCa) as well as independent traders. Around the world, METRO has 15 million customers who can choose whether to shop in o ... View more