Responsibilities

• Development of recommendation system
• Ad-hoc reporting
• Interpreting and analysing data using statistical techniques
• Preparing statistical reports
• Data visualisation
• R&D in the area of computer vision for skincare

Requirements

• Strong ability to write good code in Python: pandas, numpy, scikit-learn, matplotlib, plotly
• Strong knowledge of SQL (PostgreSQL)
• Strong knowledge of mathematical statistics
• 2+ years industry experience in data analytics. You should be familiar with general process (data preparation and preprocessing, training, testing, deployment and iterative improvement)
• Familiarity with machine learning approaches for development of recommender systems
• Familiarity with basic unsupervised ML algorithms
• Familiarity with data visualisation approaches
• Advanced English level

Also, nice to have:
● Experience in computer vision is a strong plus
● Experience with at least one of the deep learning frameworks: Pytorch, TensorFlow, etc.
● Experience with Azure, AWS or GCP


Tools we use to work efficiently
Jira, Slack, Gitlab, Bitbucket (git).


Bonuses and perks

• Work in innovative industry and digital healthcare project — we fight ageing and extend healthy longevity through computer vision.
• Collaboration with leading research universities all around the world.
• Competitive compensation depending on experience and skills.
• Friendly, creative and cohesive team.
• Conferences and scientific events attendance.