Senior Data Scientist

Requirements

– Data scientist with 5+ years of experience
– Solid understanding of Statistics, Machine Learning and Deep Learning
– Hands-on experience in Python
– Experience with Recommender Systems (Content-Based, Collaborative Filtering, Hybrid, Market Basket Analysis, Repeat Purchase)
– Experience with look-alike modeling and sequential-input models, RNNs (LSTM, GRU, etc.)
– Expertise in building, productionising and scaling analytics solutions for big data problems
– Experience with SQL databases
– Familiarity with cloud ML Platforms (Google AI Platform, Amazon Sagemaker, MS Azure AI Platform) is a plus.
– Hands-on experience with data preparation, cleansing, feature engineering, and visualization
– Great communication and presentation skills.
– Understanding of and experience with customer intelligence & marketing domains a plus.

Responsibilities

– Lead a team of skilled data scientists and data engineers
– Drive the collection, cleaning, processing, and analysis of new and existing data sources.
– Communicate with business stakeholders to clarify their requirements and present the teamwork results.
– Learn & stay current on developments in one or more analytics domains: Optimization, Machine Learning, Deep Learning / – AI, Simulation, etc.

What we offer

– Opportunity to work on bleeding-edge projects
– Work with a highly motivated and dedicated team
– Flexible schedule
– Medical insurance
– Benefits program
– Corporate social events
– Professional development opportunities






    About

    Location: Kyiv/Lviv/Kharkiv
    Type: Full-time

    Our client is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance, and technology sectors.

    As part of the Enterprise Data team, the Data Scientist will support the development of next-generation data platforms by employing data analytics and various data science capabilities (i.e. machine learning). Data Scientists should be able to make judgments and recommendations based on the analysis and interpretation of data.