Senior Data Scientist


  • Data scientist with 4+ years of experience
  • Experience with Docker, Kubeflow, K8s, Argo, Google Cloud
  • Experience with Pytorch, Keras, TensorFlow
  • Hands-on experience in Python: Sanic, Gunicorn, Python unit test
  • Solid understanding of Statistics, Machine Learning, and Deep Learning
  • Experience with SQL databases, bigQuery, git
  • Great communication and presentation skills. Proven ability to present progress made by the team to senior business management and the project stakeholders.
  • Understanding of and experience with customer intelligence & marketing domains a plus.
  • Experience in working across different global cultures a plus


  • Lead a team of skilled data scientists
  • Drive the collection, cleaning, processing, and analysis of new and existing data sources.
  • Communicate with business stakeholders to clarify their requirements and present the teamwork results.

What we offer

  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Flexible schedule
  • Medical insurance
  • Benefits program
  • Corporate social events
  • Professional development opportunities


    Location: Kyiv
    Type: Full-time

    As a leader of the Data Science team, you will run the development of next-generation platforms for customers micro-segmentation, clusterization, behavior analysis, and prediction as well as building up new improved recommendation systems for the customers.

    You will use your expertise to design data science models and frameworks, data processing pipelines, and lead efforts of the ML models productization.
    You will use project management skills to manage the deliverables and ensure all stakeholder work is complete on time. You will also manage stakeholder communications and present your project across a wide spectrum of management levels.

    Lead Data Scientist is supposed to handle complex problems independently and demonstrate analytical thinking. At this position, you should be able to make judgments and recommendations based on the analysis and interpretation of data.

    The position requires excellent communication skills and experience working directly with technical teams as well as with business stakeholders. Being able to present findings in a meaningful and clear way is a must.