Work format: On-site, relocation
Company location: Dubai, UAE
Salary: Salary: from 7,000 up to 8,000 USD per month NET (0 taxes in Dubai).
We are looking for a skilled Data Scientist with expertise in creating recommendation systems to develop and optimize personalized content suggestions for our gambling projects.
This is a position with relocation to Dubai, UAE.
The company provides free accommodation and relocation assistance as well as a new A-class office with free food, drinks, massage and gaming rooms and a lot more.
Our main tech stack: AWS, Kubernetes, Terraform, C#, .NET, PostgreSQL, Kafka, RabbitMQ, TS, JS, ReactJS, Redux, Less, Sass, Webpack, Python (ML).
Responsibilities:
- Research, design, and implement recommendation system models to improve user engagement and retention;
- Analyze large-scale user behavior data to uncover insights and improve predictive accuracy;
- Work with engineering teams to deploy, scale, and monitor recommendation algorithms in production;
- Improve data collection and feature engineering processes to enhance model performance;
- Stay up to date with industry trends and new technologies in machine learning and AI;
- Collaborate with other teams to identify opportunities for process enhancement and the technical advancement of data-driven solutions;
Required Skills:
- Strong knowledge of Python;
- Experience with large-scale recommender systems (e.g., collaborative filtering, content-based filtering, hybrid models);
- Bachelor's or Master's degree in Mathematics, Statistics, or probability theory;
- 4+ years of experience in data analysis, data science, or a related field;
- Specialized knowledge in predictive modeling and ML techniques;
- Confident use of libraries and frameworks for machine learning (NumPy, Pandas, Scikit-Learn, Prophet, LightGBM, Keras, TensorFlow, PyTorch);
Strong knowledge of SQL;
- Experience in data visualization tools (Tableau, Power BI, Qlik, etc.);
- Good analytical and problem-solving skills and the ability to thrive in a collaborative and creative work environment;
- Excellent communication skills for conveying results and complex concepts to non-technical colleagues;
- B2+ English.
What do we offer:
- Competitive salary and Ρonstant encouragement for your efforts and contribution;
- Health insurance;
- Gym memberships;
- Paid sick days and vacation days;
- Workplace perks such as recreation activities, food and drinks, gaming room, pool table etc.;
- Flexible working hours;
- Corporate subscriptions for Pluralsight, Lynda;
- Challenging tasks with great opportunity to level up your skills;
- Knowledge sharing atmosphere;
- Relocation assistance;
- Paid accommodation;
- Team building events.
Unlimited good mood and support :)