Working on full-cycle data science projects. Tasks will include data preparation, developing ML models and deploying them to production;
Improve the quality of existing models;
Research, prototyping models, gathering data and design architecture for solutions;
Collaborate with different functional teams to implement models and monitor outcomes.
At least 2 years of hands-on development of complex Machine Learning models, ideally Python-based;
Solid understanding of statistics and algorithms;
Experience in collecting and analyzing data;
Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance;
Experience in Python (NumPy, pandas, sklearn, xgboost);
Experience with SQL (PostgreSQL);
Research mindset with bias towards action — able to structure a project from idea to experimentation to prototype to implementation;
Passionate and attentive self-starters, great communicators, amazing follow-through — you have a great work ethic and love the responsibility of being held accountable for the results.
Experience with Apache Airflow;
Experience with document-oriented databases (MongoDB);
DL experience (PyTorch, TensorFlow, Keras);
Experience with algorithms for logistics optimization;
Experience with recommendation algorithms.
Flexible working hours;
Young, friendly and skilled development team (middle+ level) ;
Regular team events and activities;
Abilities to visit conferences, master classes, pass certifications;
Comfortable office in the city center;
Tea, coffee, cookies, fruits;
20 working days of paid vacation per year.