Middle Data Scientist
Middle Data Scientist
About your key responsibilities and impact:
- Formulating hypotheses regarding the requisite data types, actively seeking, and procuring said data from pertinent sources;
- Collaborating with subject matter experts across various sports domains to validate hypotheses, discerning impactful factors, and selecting algorithms tailored to specific scenarios;
- Engaging in the coding process, encapsulating the constructed model within functional code for validation purposes;
- Crafting solutions utilizing Python or the .Net stack, providing detailed algorithmic descriptions, and disseminating them to fellow developers for implementation.
Essential professional experience:
- Strong knowledge of SQL (various dialects), experience with MongoDB as a plus;
- The ability to retrieve data from other sources, such as parsing (e.g., Selenium), and some experience with Kafka is preferred;
- Strong statistics knowledge is key;
- Experience with the development of ML models (image processing, pattern recognition, and similar);
- Knowledge of Python and its libraries (NumPy, Numba, and multithreading), and experience with .Net are preferred, but not mandatory;
- Upper-Intermediate English level.
Desirable skills and personal features:
- Experience in the sports betting industry is a plus.
Apply here https://grnh.se/bf745d72teu
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