Relocate to 🇦🇲 Armenia

Responsibilities:

• Build high-performance databases, and improve data models;
• Machine learning algorithm deployment;
• Manage data and meta-data;
• Set standards for data transformation/processing;
• Perform data analysis and implement solutions to improve processes;
• Development of data-related instruments/instances;
• Write unit/integration tests to maintain accuracy in the data models;
• Track pipeline stability;
• Drive the collaboration process with other team members.

Required qualifications:

• 2+ years of experience in designing and developing Python-based solutions;
• Technical expertise with data models, data mining, and segmentation techniques;
• Experience with algorithms/data structures;
• Hands-on experience with SQL database design;
• Good knowledge of Python standard library (multiprocessing, threading, and asyncio);
• Good knowledge of python libraries for data analytics- NumPy, pandas, numba, dask, scikit-learn;
• Knowledge of Python web frameworks- flask, tornado, FastAPI;
• Familiarity with deployment tools such as Docker, Anaconda;  Cloud platforms such as Google or AWS and their data-related services;
• Familiarity with web scraping libraries: scrappy, selenium, beautiful soup;
• Excellent written and verbal communication skills for coordinating across teams;
• A drive to learn and master new technologies and techniques;
  Degree in Computer Science, IT, or similar field; a Master’s is a plus;

Benefits & Perks:

• Health Insurance;
• Company stock options;
• Individual Benefit package (serves for your work and life balance)
• "Work From Home" Days;
• Individual KPI (Key Performance Indicator);
• Access to advisers including advisory board member at NASA Health Institute and serial founders to help us grow, personally and professionally;
• Weekly team events;
• Technical and soft-skills trainings;
• Variety of knowledge-sharing and self-development opportunities.