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We are hiring for our client, a leading B2B online betting platform that specializes in providing an unparalleled user experience. Their platform offers a dynamic lobby with micro-betting options. As they continue to innovate in the industry, we are supporting to expand of their engineering team.
About the Role As a Data Scientist specializing in sports betting analytics, you'll be responsible for leveraging statistical analysis, machine learning techniques, and predictive modeling to extract insights from large datasets and improve the accuracy of betting odds and outcomes. Your expertise in data analysis and modeling will play a critical role in enhancing our platform's capabilities and providing a competitive edge in the industry.
Key Responsibilities Analyze large datasets to identify trends, patterns, and correlations related to sports events, betting markets, and customer behavior. Develop predictive models and algorithms to forecast sports outcomes, optimize betting odds, and inform trading strategies. Collaborate with cross-functional teams including product, engineering, and business development to integrate predictive models into our platform and products. Conduct exploratory data analysis to uncover actionable insights and opportunities for optimization across various aspects of the sports betting ecosystem. Design and implement experiments to test hypotheses and evaluate the performance of predictive models, iterating based on results and feedback. Stay abreast of advancements in data science, machine learning, and sports analytics research, incorporating new methodologies and techniques into our analytics toolkit. Communicate findings and recommendations to stakeholders clearly and concisely, both verbally and through data visualization techniques. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Advanced degree or relevant certification is a plus. Proven experience as a Data Scientist or similar role, with a strong portfolio showcasing your work. Proficiency in programming languages such as Python, with experience in data analysis libraries such as Pandas, NumPy, and SciPy. Experience with database technologies including MongoDB and SQL, with the ability to write complex queries and perform data manipulation and analysis. Strong understanding of statistical analysis, machine learning, and data mining techniques, with hands-on experience applying these methods to solve real-world problems. Knowledge of data visualization tools such as Matplotlib, Seaborn, or Tableau, with the ability to communicate complex insights effectively. Experience working with large datasets and distributed computing frameworks such as Apache Spark or Hadoop is a plus. Strong problem-solving skills and analytical thinking, with the ability to interpret data, identify trends, and draw actionable insights. Effective communication and collaboration skills, with the ability to work cross-functionally with stakeholders to understand business requirements and deliver solutions. Passion for continuous learning and self-improvement, with a curiosity to explore new tools, technologies, and methodologies in the field of data science. Benefits Competitive salary, with potential for higher compensation based on candidate fit. Private health insurance and additional benefits to be disclosed. Flexible work schedule with remote options and eventual transition to hybrid. Access to gym facilities and modern meeting rooms in the Tibidabo area of Barcelona. Opportunity to join a dynamic team and contribute to the growth of a well-funded startup.
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