Data Scientist

For which tasks (responsibilities)?

— Developing and testing machine learning models for customer behavior prediction, deploying to production;

— Working with tabular data collecting, cleaning, and exploring datasets, building ML pipelines;

— Applying statistical methods to analyze and interpret data, finding patterns, insights to improve quality of models;

— Maintaining existing models;

— Communicating and presenting results.

What kind of professional are we looking for?

— Knowledge of Ukrainian or Russian is mandatory

— Proven experience in analysis of large amount of data;

— Experience in solving customer behavior prediction tasks;

— Knowledge of ML algorithms for regression, classification, clustering, ability to apply them to business problems;

— Solid experience in SQL;

— Extensive experience with Python for data processing, modeling, and visualization;

— Deep understanding of statistics, probability theory;

— Passion to drive projects from R&D to business value.

Will be plus:

— Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.);

— Familiarity with BI tools (Metabase, Tableau);

— Experience with tools for managing ML workflows;

— Knowledge and experience with algorithms and data structures;

— Knowledge of OOP;

— Understanding of containerization technologies (Docker);

— Participation in Kaggle competitions.

What are the conditions and bonuses?

🍀 An exciting and challenging job in a fast-growing product holding, the opportunity to be part of a multicultural team of top professionals in Development, Engineering and Architecture, Management, Operations, Marketing, etc;

🤝 Great working atmosphere with passionate IT experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;

📍Beautiful offices in Limassol, Warsaw, Almaty, Yerevan — work with comfort and enjoy the opportunity to build a network of connections with IT professionals day by day;

🧑‍💻 Laptop & all necessary equipment for work according to the ecosystem standards;

🏖 Paid vacations, personal events days, days off;

🫖 Paid sick leave;

👨‍⚕ Medical insurance;

💵 Referral program — enjoy cooperation with your colleagues and get a bonus;

📚 Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;

🦄 Multiple internal activities: online platform with newsletters, quests, gamification, and presents for collecting bonuses, PIN-UP talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays, etc;

🎳 Company events, team buildings.