Specialty
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The role
The company is hiring a data scientist to work on pricing and related business problems such as forecasting, retention and customer journey efficiency. You can work remotely, in the office or hybrid.
What you will do
- Take ML projects end to end, from problem framing through modelling and piloting to presenting results.
- Work on pricing for B2B and B2C, forecasting and optimisation of financial and operational metrics.
- Build classic ML and deep learning models, time series and uplift models, and analyse their errors.
- Design A/B tests with analysts, including metrics, splits and result interpretation.
- Prepare models and code for handoff to production, and monitor model quality and degradation.
What they ask for
- 3+ years as a data scientist.
- Proven end-to-end ML project experience.
- Strong classical ML: feature engineering, classification, regression, boosting.
- Hands-on uplift modelling and time series work on real business problems.
- Strong Python for data science and confident SQL.
- Nice to have: MLflow/DVC, Airflow, anomaly detection, PyTorch/TensorFlow, model monitoring.
What they offer
- Fully flexible work schedule.
- Remote, office or hybrid work format.
- Partial compensation for external training and conferences.
- English lessons and speaking clubs.
- Extra paid day off (MyTime Day Off).
- Corporate prices on hotels and travel services.
This is our own short reading of the posting. The full description, and anything that has changed since, is on the employer's careers page behind the apply button.