Data Scientist, Buyer
Tasks
- Build machine learning models for personalization
- Build machine learning models for retrieval and ranking
- Collaborate with engineers and product to translate business problems into ML objectives
- Define tracking requirements for experiments
- Design and analyze online A B tests
- Design training pipelines for ML models
- Optimize model serving for high throughput and low latency
- Perform offline model evaluations
- Share knowledge and participate in peer reviews
Perks/Benefits
- Annual learning budget
- Employee assistance program
- Frequent Team Building Events
- Gym access
- Home office support
- Hybrid work
- In-house meals
- Lunch allowance
- Monthly shopping budget
- Private health insurance
- Workation up to 90 days
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Warehousing | Deep learning | Elasticsearch | Gradient boosting | Information Retrieval | Learning-to-Rank | Machine Learning | NVIDIA Triton | Neural Networks | Offline evaluation | Online Experimentation | Python | SQL | Semantic Search | Sequence Modeling | Statistics | Two-Tower | Vector Search | Vespa
Education
N/A
Roles
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