Job Description
Easybrain seeks an experienced Data Scientist to join its BI team. You'll build machine learning models for user LTV prediction, segmentation, and anomaly analysis. Python, SQL, and ML expertise are essential.
Good To Have:
- Advertising tech
- Mobile games
- BI tools
- Russian language
Must Have:
- Python expertise
- SQL experience
- Machine learning
- Production models
Perks:
- Relocation support
- Performance bonuses
We are looking for an experienced data scientist who will become one of the key members in the Business Intelligence team at Easybrain. You will work with other data scientists to develop an internal BI system that is used at Easybrain to make data-driven decisions to create market-leading puzzle and logic games.
Responsibilities:
- Work with large amounts of data from multiple sources to develop machine learning models for predicting user’s LTV in mobile games, segmentation of users, and analyzing anomalies in data;
- Develop algorithms to personalize the gaming experience;
- Analyze the accuracy of the implemented models;
- Search for and propose new approaches to increase the accuracy of forecasts for key business indicators;
- Improvement of the current models using new data sources and approaches.
Requirements:
- Possessing significant expertise in Python;
- Demonstrating substantial experience in SQL;
- Having a comprehensive understanding of various machine learning algorithms and the capability to determine the most effective ones for our tasks;
- Experience in developing production ready models and implementing them for practical use;
- Russian language proficiency is a must;
- English language proficiency (intermediate level or higher);
- Experience in advertising technologies, mobile games, and business intelligence tools will be a plus.
Benefits:
Besides the engaging tasks, support from experienced colleagues, challenge, and drive, we offer:
- Full support in relocating to countries where our offices are located;
- High-end market salary with performance bonuses;
- All needed equipment;
- Regular company events and monthly Friday meetings;
- Social benefits (private medical cover, sports reimbursement, etc.);
- Paid vacations, sick days;
- English, Greek, and Polish online language classes;
- Reimbursement for education and professional development.
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