Data Scientist - Sportsbook

The Wow

The Sportsbook Area with Product Development is now hiring! We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning 5 Tech Hubs. These can be found in Malta, Budapest, Stockholm, Tallinn and Athens.

Key Responsibilities

• Identify, analyse, define and understand business problems.
• Collecting, cleaning, and preprocessing data to ensure its quality and reliability to build solutions.
• Prototype data science models.
• Use exploratory analysis methodologies to identify patterns and trends to use with the right statistical methods (clustering, PCA, regression, significance testing).
• Work with descriptive and predictive analytics (e.g. linear regression & propensity models, customer segmentation, data mining and trigger identification).
• Work with the Machine Learning Engineer, within the data function, to implement and productionise the models whilst monitoring the performance.
• Evaluating the performance of models and refining them as needed
• Presenting the results and suggestions to relevant parties by using easily understandable visuals and concise reports
• Working with teams across different functions to implement solutions based on data analysis

You are good at

• Communicating with commercial stakeholders, explaining data concepts in a non-technical language.
• Working in a dynamic environment with a very flexible approach.
• Being a team player. Collaboration between teams will be essential in this role.

What we are looking for

• Keen interest in Sports and Casino to establish which models should be used in the correct context.
• Degree or MSc/PhD in a quantitative area such as Statistics, Maths or Economics.
• Experience delivering complex data science and analytics projects within organisations.
• Great understanding of statistical methods and machine learning models.
• Has good understanding in at least one analytical language (Python, R, SPSS).
• Experience manipulating large datasets using SQL or similar.

What we offer

• Fitness-wellness allowance 🧗‍♂️
• Company mobile phone for private use with 100 GB 📱
• Annual HUF devaluation compensation 💡
• Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠
• Private Health Insurance 🩺
• Career development 📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events 🥳

Challenge accepted?

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If you are interested to learn more, please apply with your CV in English.

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