Data Scientist (вакансія неактивна)

Requirements

• 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;
• Company events, team buildings.