Logo of HautAI

Remote Data Scientist

Remote or Tallinn, Estonia
Roles:
Data
Must-have skills:
Computer VisionPython
Nice-to-have skills:
AWSAzureGCPNumPy
Considering candidates from:
Europe, South Caucasus, Western Balkans and Israel
Work arrangement: Hybrid or remote
Industry: Health and Human Services
Language: English
Level: Middle
Required experience: 3+ years
Relocation: Not paid
Visa support: Provided
Size: 11 - 50 employees
Logo of HautAI

Remote Data Scientist

Remote or Tallinn, Estonia
Haut.AI​ is developing a SaaS platform for skin health and beauty for the cosmetics industry. Their developments are based on the state-of-the-art algorithms of computer vision and machine learning. Among their clients are cosmetics companies, and plastic surgery clinics in Europe, the US, and South Korea.
Now the company is looking for a talented and motivated Data Scientist, to join their research team, developing data analytics pipeline and insight generation engine using skincare and metadata

Tasks:
  • Develop and implement deep learning algorithms for computer vision tasks, such as segmentation, classification, image generation
  • Apply classical computer vision techniques, to solve problems in computer vision
  • Report results to clients and internal stakeholders, including presenting findings in a clear and concise manner
  • Conduct ad-hoc reporting to communicate findings and results to stakeholders
  • Interpreting and analyzing data using statistical techniques to identify trends and patterns in the data
  • R&D in the area of computer vision for skincare
Must-have:
  • Strong ability to write good and reproducible code in Python, specifically with experience in Pytorch, pandas, NumPy, and scikit-learn
  • Strong communication skills and the ability to present findings in a clear and concise manner
  • Strong knowledge of SQL, specifically PostgreSQL
  • Expertise in deep learning and computer vision algorithms and techniques, and the ability to apply them to real-world problems
  • Familiarity with Git
  • Expertise in statistical methods and the ability to use tools such as pandas and scikit-learn to analyze data and plotly/streamlit to visualize data
  • Advanced level of English 
Nice-to-have:
  • Experience with self-supervised algorithms
  • Experience with Time series packages like Facebook prophet
  • Experience with Azure, AWS or GCP
Benefits and conditions:
  • Trial period: 3 months
  • Creative work on developing the core company product. This means freedom of experimenting and multiple new technologies to try
  • Competitive salary depending on skills
  • 28 days of annual leave
  • Comfortable office in Tallinn with awesome coffee and regular offline and online events and team outings
  • Option to work remotely with a flexible schedule
  • All necessary devices for development and tests are regularly provided by the company
  • Friendly, creative, and cohesive team. They hugely support cross-projects experience sharing and company-level initiatives
  • Inclusive environment
Interview process:
  1. Intro call with Toughbyte
  2. Interview with the Data Science Team Manager
  3. Interview with founders