Responsibilities:
- Conduct data analysis and modeling to identify trends, patterns, and insights that can be used to improve our platform.
- Develop predictive models and algorithms that can forecast outcomes for sports events and improve the accuracy of our predictions.
- Work closely with the product and engineering teams to integrate models and algorithms into our platform.
- Collaborate with other data scientists, analysts, and business stakeholders to ensure that our models and algorithms are accurate, reliable, and scalable.
- Monitor the performance of our models and algorithms and continuously improve them based on feedback and new data.
Requirements:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Preferably at least 2-3 years of experience in data science, ideally in the sports gaming industry.
- Passion for sports and sports gaming.
- Strong programming skills in Python and experience working with libraries such as Pandas, NumPy, and Scikit-learn.
- Knowledge of SQL and experience working with databases and data warehouses.
- Experience with machine learning algorithms and statistical models, including supervised and unsupervised learning, regression, classification, and clustering.
- Strong problem-solving and analytical skills, with the ability to think creatively and outside the box.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Benefits:
- Top tier compensation + benefits package
- Flexibility to work remotely
- Opportunity for professional growth in a dynamic and international environment
- Informal, friendly and knowledge-sharing environment
- An interesting and challenging job that allows you to explore paths to creating successful software solutions
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