Data Scientist / ML Engineer
Payload
Develop tools and insights from internal and external data sources. Work spans internal data analysis to inform strategy and improving behavioral machine learning products for real-time security and fraud protection.
What you'll do
- Design, enhance and develop new machine learning models and strategies
- Assess effectiveness and accuracy of new data sources and gathering techniques
- Mine and analyze company database data to drive optimization
Requirements
- Strong problem solving skills with emphasis on product development
- Experience using statistical and ML libraries in Python
- Knowledge of advanced statistical techniques (regression, distributions, statistical tests)
- Experience with supervised, unsupervised and reinforcement learning
- Knowledge of common ML algorithms (SVM, kNN, K-Means, XGBoost)
- Experience visualizing and presenting data
Skills
Outlined skills are listed as required.
Full original description
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