Senior Data Scientist
PLN 234K-411K (estimate) Senior-level Full Time
Tasks
- Build RAG pipelines and vector search
- Collaborate with product data engineers and stakeholders
- Define hypotheses success metrics and evaluation plans
- Design build and evaluate GenAI solutions
- Develop LLM and agentic AI workflows
- Implement evaluation offline and online tests
- Implement production-ready Python code
- Lead workshops and stakeholder demos
- Manage model and prompt versioning
- Perform data feature drift checks
- Set up monitoring and traceability
- Train classical machine learning models
- Translate business needs into data science problems
Perks/Benefits
- Additional days off
- Career development
- Co-financed sport card
- Dental care
- Holiday allowance
- Home office budget
- Hybrid work model
- Life and travel insurance
- Meals subsidy
- Mental health support
- Mentoring programme
- Pension plan
- Professional training and conferences
- Relocation support to Warsaw
- VIP medical care package
Skills/Tech-stack
A/B | A/B Testing | AUC | AWS | AWS Lambda | Agentic AI | Automated testing | Azure | Azure Blob | Azure Blob Storage | B testing | Blob Storage | CI/CD | Data Governance | Databricks | Embeddings | F1 | Feature Engineering | Generative AI | Git | GitHub Actions | Interleaving | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | NumPy | Pandas | Privacy | Prompt engineering | PyTorch | PydanticAI | Python | RAG | RMSE | S3 | SHAP | SQL | Scikit-learn | Series forecasting | Spark | Structured Logging | TensorFlow | Time Series | Time Series Forecasting | Tool use | Vector Databases | Vector Search
Education
Roles
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