Sports Data Science Strategist

hace 2 días


Medellín, Antioquia, Colombia LeoVegas Group A tiempo completo
Overview

We are seeking a highly skilled sports data science leader to join our dynamic team at LeoVegas Group. As the lead sports modeling and analytics expert, you will play a crucial role in developing innovative models to support our sportsbook team.

About the Role

This is an exciting opportunity for a seasoned professional with expertise in sports modeling and analytics to lead our newly formed sports data science team. You will be responsible for designing and developing odds modeling, pricing, risk, and other models to drive business growth.

Key Responsibilities:
  • Serving as the in-house statistical expert for the sportsbook domain, ensuring all models are theoretically sound.
  • Providing technical leadership and mentorship to other data science team members.
  • Interface with sportsbook stakeholders to determine requirements for new models and model improvements.
  • Ideating and designing data science and machine learning solutions that maximize accuracy, scalability, and efficiency.
  • Collaborate with technical and non-technical teams upstream and downstream to fully implement models and deploy them for production operational use.
  • Perform advanced data analysis to identify patterns in data, modeling/automation opportunities, and quantify impact of developed solutions.
Requirements:
  • Undergraduate degree in statistics or mathematics.
  • Strong theoretical knowledge of statistics and machine learning.
  • Strong domain knowledge of sports betting concepts, terms, metrics, and the general industry.
  • Intellectual creativity and a desire to challenge the status quo.
  • Strong stakeholder communication and complex project management skills.
  • Experience with scripting/programming languages and common data science packages.
  • Experience with SQL and databases.
  • Experience with Git.
Salary Information:

The estimated salary range for this position is $120,000 - $180,000 per annum, based on industry standards and location.


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