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 efficientlyJira, 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.