Applied Scientist , Sponsored Products
Tasks
- Analyze large data sets
- Build and validate machine learning models
- Communicate experiment plans and outcomes
- Conduct statistical analysis of experiment results
- Design A/B experiments
- Develop new machine learning approaches
- Drive end to end Machine Learning projects
- Generate large scale features
- Productionize machine learning models
- Train validate and serve machine learning models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Algorithms | Apache Spark | B testing | C++ | Causal Inference | Data Engineering | Data Mining | Data Structures | Deep learning | Distributed Computing | Feature Engineering | Hadoop | High Performance | High-Performance Computing | Java | MXNet | Machine Learning | Multi-Armed Bandit | Neural Networks | NumPy | Numerical Optimization | Parallel Computing | Performance Computing | Predictive Modeling | Python | R | Reinforcement Learning | SciPy | Scikit-learn | Statistical Analysis | TensorFlow
Education
Roles
Regions
Countries
States
Cities
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