Data Scientist - US Sporting Events @Sports Betting Investment Advisors

Role: Data Scientist - US Sporting Events

Company: Sports Betting Investment Advisors

Location: Remote, US

Required Technical and Professional Expertise:
Required Qualifications:

Python (scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks)
Experience with machine learning algorithms, such as neural networks/deep learning, SVM, XGBoost, Random Forest, generalized linear models, etc.
Understanding of Sports Wagering Markets
Experience with Amazon Web Services (EC2, S3, SageMaker, CodeCommit)
Experience with MongoDB or similar NoSQL database

Desired Qualifications:

Sports Analytics
Experience with Database Management
Experience moving research into production - serving models, hosting on cloud resources, automation, etc.
Background in Game Theory, Control Theory
Tensorflow or equivalent deep learning framework such as PyTorch, Caffe(2), MXNet
Experience with ensemble methods