Data Scientist (ML e-commerce)

Data engineering & ML
Mid | Senior
Remote
Polska | Warszawa

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About the role

Development of a model estimating the impact of technical outages of the platform on business losses measured by GMV (Gross Merchandise Value) for an e-commerce client.

Our expectations

Minimum 3 years of professional experience as a Data Scientist or in a closely related role
Python for data analysis and modeling
SQL for data extraction and transformation
Strong foundations in Data Science, especially: Regression models, Machine Learning model evaluation and selection, Understanding of the ML lifecycle (excluding initial model development)
Solid knowledge of statistical inference

Nice to have

Experience with forecasting models (highly valued)
Familiarity with Meta’s Prophet
Experience with Google Cloud Platform, particularly: BigQuery, Airflow
Experience with MLflow for experiment tracking and model management

What we offer

Unique atmosphere

A good and friendly atmosphere in the company and the satisfaction of working with both departmental colleagues and direct superiors.

Team-building events

Large internal technology conferences, star parties and team outings.

Flexibility

Working hours are flexible and tailored to individual preferences. As is the mode of work delivery: remotely or in a hybrid model.

Development paths

They are clear, straightforward and certainly not bumpy. Choose between a managerial or expert development path.

Certifications

We facilitate the development of desired competencies, subsidize training and courses.

Security

We have many years of experience in the market and implement national and international projects. We skillfully manage tasks and enable smooth allocation between projects.

Language lessons

For those who speak fluently and want to maintain this level or wish to develop their language skills, we enable free participation in language lessons. Are conducted in the modern and safe form of online meetings. Just learn IT!

Comfort at work

Attractively decorated relaxation areas, available in the company's largest branches, to encourage relaxation during the day, and equipped kitchens with aromatic coffee.