Betting Data Science Specialist

Remote, Full-time · Ukraine

Job Description:

We are seeking an innovative Betting Machine Learning Specialist to join our dynamic team. In this role, you will be at the forefront of developing cutting-edge models that leverage odds from various bookmakers to establish our own industry-leading odds. Your work will directly contribute to our strategic objective of providing the best betting odds on the market.

Responsibilities:

  1. Develop and maintain machine learning models for setting betting odds.
  2. Analyze data from multiple bookmakers to create a comprehensive odds comparison system.
  3. Collaborate with software engineers to integrate machine learning models into our existing platform.
  4. Continuously evaluate model performance and adjust strategies accordingly.
  5. Stay abreast of the latest developments in machine learning and betting algorithms.

 Requirements:

  1. Master’s or PhD in Statistics, Computer Science, Mathematics, or a related field.
  2. Proven experience in machine learning and predictive modeling.
  3. Strong programming skills in Python, R, or a similar data science language.
  4. Knowledge of sports betting markets and odds calculation.
  5. Experience with data manipulation and analysis using SQL, Pandas, or similar tools.
  6. Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  7. Excellent analytical and problem-solving abilities.
  8. Strong communication and collaboration skills to work effectively with cross-functional teams.

Desirable Skills:

  1. Experience in the sports betting industry.
  2. Programming skills in Java language.
  3. Understanding of event-driven systems.

What we offer:

  1. Ability to work remotely from anywhere in the world.
  2. Paid vacation and sick days.
  3. Full support and tax coverage (5%) for private entrepreneurs.
  4. Participation in educational activities and thematic conferences.
  5. English courses.
  6. Corporate events.

Apply for this position

Get in touch and submit your CV, we’d love to hear from you.