Proven experience in modeling, data analysis, business intelligence;
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. Experience with different databases is a plus;
Experience in Python, including data analysis packages;
Deep understanding of statistics, probability theory;
Experience with AWS services;
Familiarity with BI tools (preferably Tableau);
Passion to drive projects from R&D to business value.
Will be plus
Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.);
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.
Responsibilities
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;
Our benefits to you
An exciting and challenging job in a fast-growing product ecosystem, the opportunity to be part of a multicultural team of top professionals in Marketing, Management, Operations, Engineering and Architecture, 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, 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 the 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 books lovers, board games cozy evenings, special office days dedicated to holidays, etc;