Web Analytics Made Easy -
StatCounter Data Scientist - US Sporting Events / Remote, US - CodingForum



Read before posting: Guides on Web Projects

Below are two short guides you need to read before posting projects or applying for projects.

A Guide for Developers
A Guide for Buyers
See more
See less

Data Scientist - US Sporting Events / Remote, US

  • Filter
  • Time
  • Show
Clear All
new posts

  • Data Scientist - US Sporting Events / Remote, US

    Looking for a talented and highly motivated Data Scientist for a unique and exciting opportunity to work with a small team to accurately predict the outcomes of future US sporting events. Candidate must have a strong understanding the wagering markets involving these events. Candidate should have hands-on experience with statistical modeling. Ideal candidates will also have experience in traditional data science (analyzing data) and more modern data science (AI, deep learning). Candidates must be capable of working in a remote environment.

    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

    Job Description
    • Investigate, identify, develop and optimize new methods, algorithmsand technologies to derive novel, competitive insights from disparate data sources.
    • Collaborate with other data scientists and developers to identify, design, build and maintain tools, analytical workflows and applications to streamline and strengthen current processes.
    • Applying new and emerging analytical methods and visualization technologies on real world data for the purposes of building investment strategies around the outcomes of sporting events.
    Read more / apply: https://ai-jobs.net/job/2931-data-sc...orting-events/