Job Description

We are seeking a skilled Math Modeler with a background in sports betting to join our team. The role involves developing predictive models for sports and esports events, collecting and preprocessing data from various sources, and implementing algorithms to forecast game outcomes and betting odds. The successful candidate will analyze model performance, refine techniques to enhance accuracy, and collaborate with cross-functional teams to integrate these models into our betting platforms.

Responsibilities:
  • Develop predictive models for various sports and esports events
  • Collect, clean, and preprocess data from multiple sources
  • Implement algorithms to forecast game outcomes and betting odds
  • Analyze model performance and refine techniques to improve accuracy
  • Collaborate with cross-functional teams to integrate models into betting platforms
  • Present findings and insights to stakeholders through reports and visualizations
Required Qualifications:
  • Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or a related field
  • 3+ years of experience in data analysis and predictive modelling
  • Solid knowledge in Python
  • Strong analytical, problem-solving, and communication skills.
  • English - intermediate
Benefits:
  • Comprehensive health insurance with coverage for your well-being
  • Paid sick leave up to 10 days without medical certificate
  • 20 days of paid vacation plus additional leave for important life events
  • Learning and growth opportunities with support for professional development
  • Language learning support for multilingual collaboration
  • Modern hardware provided for your work
  • International team environment across multiple countries
  • Corporate events and team activities
  • Welfare support program for critical situations
  • Gifts and support for major life milestones
Nice To Have:
  • Knowledge of sports and esports ecosystems is a great advantage
  • Experience with machine learning frameworks and statistical software is a great plus
Skills:
  • Strong analytical
  • problem-solving
  • communication skills
Technologies:
  • Python
  • machine learning frameworks
  • statistical software
Note:

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