Data Scientist 2/3, Storefront
Tasks
- Build automated end to end modeling pipelines
- Build natural language search engine
- Create relevance ranking features
- Define data product specifications
- Deploy machine learning models to production
- Design app engagement algorithms
- Develop near real time personalization models
- Implement real-time tracking and monitoring
- Present analytical outcomes to leadership
- Run live experiments
- Translate business targets into data science solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Data Modeling | Experimentation | Generative AI | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Personalization | Python | Recommender Systems | Relevance Ranking | SQL | Search & Ranking | Semantic Search
Education
Roles
Regions
Countries
States
Cities
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