Senior Data Scientist
Tasks
- Apply statistical predictive and prescriptive modeling
- Build and maintain production grade data science solutions
- Build forecasting models for planning and operations
- Collaborate across teams for data readiness and adoption
- Design and implement causal inference methods
- Develop and deploy machine learning models
- Develop optimization approaches for resource allocation
- Embed causal reasoning into decision systems
- Ensure models are explainable and actionable
- Integrate generative AI into data science workflows
- Integrate models into scalable APIs and platforms
- Monitor and manage deployed model lifecycle
Perks/Benefits
- Certification reimbursement
- Hybrid work options
- Learning workshops
- Maternity and paternity leave support
- Medical insurance
- Mentoring program
- Multisport card OR Multikafeteria
- Paid vacation
- Remote work options
- Sick leave
- Unpaid leave
Skills/Tech-stack
APIs | Agent systems | Causal Inference | Experimentation | Forecasting | Generative AI | Language Models | Large Language Models | Machine Learning | Model Monitoring | Optimization | Probabilistic Forecasting | Python | RAG | Retrieval-Augmented Generation | SQL | Statistical modeling | Time Series | Uplift Modeling
Education
N/A
Roles
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