Decision Scientist, Buyer
Tasks
- Analyze experiment results
- Build machine learning retrieval models
- Build recommendation personalization models
- Collaborate with stakeholders on ML objectives
- Conduct peer reviews
- Define tracking requirements
- Design online A B tests
- Design training pipelines
- Lead design proposals for modeling approaches
- Measure business impact
- Optimize ranking models
- Perform offline evaluations
- Serve models in production
- Share technical knowledge
- Translate business problems into ML objectives
Perks/Benefits
- Commute transit card
- Discounted gym membership
- Dog-friendly office
- Employee assistance program
- Home-office equipment
- Hybrid work
- Lunch benefit
- Mental health support
- Paid annual leave
- Pension plan
- Personal shopping budget
- Professional learning budget
- Share options programme
- Workation days
- Workplace furniture budget
Skills/Tech-stack
A/B | A/B Testing | B testing | Deep learning | Elasticsearch | Experimentation platforms | Gradient boosting | High Throughput | Information Retrieval | Learning-to-Rank | Low Latency | Machine Learning | Model Serving | NVIDIA Triton | Neural Networks | Neural Reranking | Python | SQL | Semantic Search | Sequence Modeling | Statistical Analysis | Two Tower Models | Two-Tower | Vector Search | Vespa
Education
N/A
Roles
Regions
Countries
States
Cities
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