Data Scientist - Product Catalog Data
Tasks
- Build offline and online models
- Co-create projects from concept to productization
- Collaborate with data engineers analysts PMs and developers
- Detect product duplicates and ensure catalog quality
- Develop and deploy automated model pipelines in production
- Develop statistical models and business rules
- Evaluate model performance and calculate sample sizes
- Extract value from spatial data natural language images and time series
Perks/Benefits
- Cafeteria benefits plan
- English classes
- Equipment provided
- Flexible working hours
- Hybrid work
- Remote work days
- Training budget
- Volunteering day off
Skills/Tech-stack
Agentic AI | Airflow | Apache Airflow | Bayesian Methods | BigQuery | Causal Inference | Cloud Composer | Computer Vision | Dataflow | Deep learning | Docker | Generative AI | GitHub Actions | Google Cloud | Gradient boosting | Kubernetes | LLMs | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Object-Oriented | Object-oriented programming | PySpark | PyTorch | Python | Spark | Spatial data | TensorFlow | Time Series | Unit Testing | VertexAI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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