Data Scientist

You already know how to train a model and calculate metrics, but you want your work to reach real users instead of staying in a notebook? We’re looking for a Data Scientist who enjoys working with live data, figuring out why a model makes mistakes, and taking solutions all the way to production.
With us, you’ll get real tasks instead of training datasets and a clear path to the Middle level.

REQUIREMENTS

• 6+ months of commercial experience in Data Science or ML (or relevant experience: data analysis, research projects, Kaggle competitions)
• Solid Python skills (6+ months):
  — pandas, NumPy
  — scikit-learn
  — Jupyter Notebook
• Practical experience with machine learning (minimal but real!):
  — Classification, regression, clustering
  — Gradient boosting (XGBoost / LightGBM / CatBoost)
  — Feature engineering and model evaluation (cross-validation, metrics)
  — Working with real, messy datasets
• Basic experience with PyTorch or TensorFlow
• Good knowledge of statistics and probability
• SQL: writing queries, joins, aggregations
• Data visualization (Matplotlib / Seaborn / Plotly)
• Basic experience with Git
• English level B2 (Upper-Intermediate) or higher

NICE TO HAVE

• Experience with LLMs, RAG or vector databases
• Experience with Spark or Databricks
• Basic understanding of MLOps: MLflow, Docker, model deployment (FastAPI)
• Experience with cloud ML services (AWS SageMaker / GCP Vertex AI)

WE OFFER

• Work with an experienced team and the opportunity for fast professional growth
• Flexible schedule and fully remote format
• Involvement in interesting projects using a modern tech stack

If this sounds like you, apply now and attach your resume!

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