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Data Scientist
Senior
Armenia, Kazakhstan, Poland
Mixed
TAB-21112
- Proven experience in analysis large amount of data;
- Experience in solving customer behaviour 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.
- 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.
- Developing and testing machine learning models for customer behaviour prediction, deploying to production;
- Working with tabular data collecting, cleaning, and exploring datasets, building ML piplines;
- Applying statistical methods to analyze and interpret data, finding patterns, insights to improve quality of models;
- Maintaining existing models;
- Communicating and presenting results;
- 🍀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 Kyiv, Warsaw, Limassol, 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;
- 🗣Free internal English courses;
- 🤸♀Sport benefit;
- 🦄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.

— Do you want to fulfill your dream? Take your career to the next level with PIN-UP — create trends, don’t follow them.
Oksana Izmailova
CHRD PIN-UP GLOBAL