Senior Data Scientist, Buyer
Tasks
- Build machine learning ranking models
- Build machine learning retrieval models
- Build recommendation personalization models
- Collaborate with product and engineering stakeholders
- Define tracking requirements
- Design and analyze online A B tests
- Design training pipelines and features
- Optimize model performance for production latency
- Perform offline evaluation of models
- Serve models in search and recommendation engines
- Translate business problems into ML objectives
Perks/Benefits
- Discounted gym membership
- Dog-friendly office
- Employee assistance program
- Home office support
- Life and disability insurance
- Lunch benefit
- Paid annual leave
- Pension matching
- Private health insurance
- Public transport subsidy
- Shopping budget
- Team building events
- Work laptop budget
- Workation days
Skills/Tech-stack
A/B | A/B Testing | B testing | Cloud Data | Cloud Data Warehouse | Data Warehouse | Deep learning | Elasticsearch | Gradient boosting | Inference Server | Information Retrieval | Learning-to-Rank | Machine Learning | Model Serving | Neural Networks | Neural Reranking | Python | SQL | Semantic Search | Sequence Modeling | Statistical Analysis | Triton Inference | Triton Inference Server | Two Tower Models | Two-Tower | Vector Search
Education
N/A
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