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