Data Scientist

Requirements:

• 4+ years of data science experience.
• Experience and understanding of approaches to data analysis (probability theory and statistics, table data analysis experience); experience with statistical libs like scipy, statsmodels, etc.).
• Familiarity with machine learning (both supervised and unsupervised) classical models and neural networks and experience with popular frameworks (sklearn, LightGBM, xgboost, keras, pytorch, etc.).
• Ability to create API for a developed solution (FastAPI, Flask, django rest framework, tensorflow-serving, pytorch-serving, Docker, etc.).
• Experience with reporting and visualization tools and libs (matplotlib, seaborn, plotly, altair, possibly jupyter notebooks, streamlit, tensorboard, etc.).
• Intermediate spoken English.

Responsibilities:

• Support startups with data science research and development.
• Participate in internal products development.

Benefits:

• Projects in Western Europe and America.
• Career and professional growth.
• Product development.
• Full cycle projects.
• Corporate-funded training.
• Benefits.
• Young and friendly team.
• Long term full time employment
• Stable pay.
• Flexible working hours
• Mentor's support and guidance to help you grow as a developer.

Английский — B1 — Средний

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