Data Scientist
OpenBet
Πλήρης απασχόλησηThe OpenBet Core Pricing team of the Data Science department is looking for a Data Scientist to create pre-match and in-play sports betting forecasting models.
Key Responsibilities
- Fetch appropriate data from the data-lake.
- Apply data cleansing methods to identify corrupt or inaccurate data entries.
- Apply statistical techniques to identify patterns in the data.
- Create models for various pre-match and in-play betting markets.
- Implement models in object-oriented programming language.
- Evaluate and maintain existing models.
- Document the process followed.
- Report to the Director of Data Science on workflow and share findings with the Data Science team.
- Collaborate closely with product owners and software developers to move projects from idea to integration.
- Communicate with clients the key elements that govern the model.
Essential Qualifications
- A postgraduate qualification in Data Science, Machine Learning, Statistics, Mathematics or a closely related quantitative field.
- 3+ years of working experience or a PhD in a quantitative field.
- Advanced programming skills: (a) statistical programming (R or Python), (b) object-oriented programming (C# or Java) and (c) SQL.
- Experience with various modelling techniques (e.g. Probability Distributions, GLMs, Monte Carlo Simulations, Bayesian Inference, Time-Series Analysis etc.)
- A demonstrable interest in developing forecasting models for sports.
- A good understanding of betting concepts and markets.
Desirable Qualifications
- 2+ years of working experience in the betting industry.
- Knowledge of modern Machine Learning methodologies (e.g. Neural Networks, Random Forests, GBMs, SVMs etc.).
- Experience with data visualisation platforms (e.g. Tableau, Qlik Sense, R-shiny etc.).
- Experience with version control platforms (e.g. GitHub, Gitlab, Bitbucket etc.)
- Experience with Jira and Confluence.
Why would you enjoy working with us at OpenBet?
Competitive benefits include a pension plan, private insurance for you and your family members, as well as extra leave days for volunteering and other purposes.
The opportunity to work within a truly international Company, where you can expect the diversity and the opportunities of the world, mixed with a people-friendly culture.
A wide palette of training opportunities and internal and external learning sources, from onboarding to on-the-job training by our subject matter experts.
A hybrid working model with the expectation to work in the office twice a week. As a software house, we have a relaxed but highly professional environment with excellent facilities, including an on-site canteen & gym, showers, video, board and electronic sports games, and a lending library.
We love to get together and throw several group events, to celebrate newcomers, enjoy some good meals together, and show off our sports talents as part of company tournaments (basketball, table tennis, and others!).
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