Applied Data Scientist
Tasks
- Build improve and deploy recommendation models
- Conduct exploratory data analysis data preprocessing and feature development
- Develop personalization and recommendation systems in production
- Measure post launch model impact and continuously improve recommendation quality
- Own applied machine learning lifecycle from idea to production
- Partner with engineering to productionize and scale models
- Run experiments and evaluate against business KPIs
Perks/Benefits
- N/A
Skills/Tech-stack
Data Analysis | Data Preprocessing | Deep learning | Experimentation | Exploratory Data Analysis | Feature Engineering | Machine Learning | Model Deployment | PyTorch | Python | Recommendation Systems | SQL | TensorFlow
Education
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