DATA SCIENTIST - SPORTS BETTING ANALYTICS

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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 Master's or Ph.
.
degree in Data Science, Statistics, Computer Science, or a related field.
Proven experience in data science roles, with a focus on statistical analysis, machine learning, and predictive modeling.
Proficiency in programming languages such as Python or R, as well as data manipulation and analysis libraries such as Pandas, NumPy, and scikit-learn.
Experience working with large datasets and relational databases, with knowledge of SQL and data warehousing concepts.
Strong understanding of machine learning algorithms and techniques, including regression, classification, clustering, and time series analysis.
Familiarity with sports betting markets and analytics concepts, such as implied probability, odds calculation, and betting market efficiency.
Excellent problem-solving skills and attention to detail, with the ability to translate complex data into actionable insights and recommendations.
Effective communication skills, with the ability to collaborate with cross-functional teams and present findings to technical and non-technical audiences.
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.