Data Scientist

We tackle the complexities of eCommerce financial data. Our Data team is at the forefront, solving intricate problems like transaction classification and data reconciliation. If you thrive on analytical challenges and want to see your solutions make a real-world difference, this is the place for you.

What you'll do:

Research and develop machine learning projects up to deployment in production.

Model, design and implement solutions that do not have an off-the-shelf solution.

Be responsible and own features - design, implement, monitor, measure, iterate.

Interact with domain experts, developers and data team.

Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems we are facing.

Some about our infra: Airflow, Airbyte, K8S, Superset, Snowflake, PostgreSQL, Athena.