Senior Data Scientist
Tasks
- Apply statistical predictive and prescriptive modeling
- Build forecasting models
- Build production grade data science solutions
- Collaborate with engineering and analytics teams to ensure data readiness
- Design causal inference methods
- Develop and deploy machine learning models
- Develop optimization approaches
- Embed causal reasoning into decision systems
- Integrate generative AI into data science workflows
- Integrate models into scalable APIs and platforms
- Monitor and manage deployed model lifecycle
Perks/Benefits
- English language classes
- Free legal consultations
- Free psychological consultations
- Home office support
- Internal workshops
- Maternity and paternity leave support
- Medical and psychological consultations
- Medical insurance
- Mentoring program
- Professional certifications reimbursement
- Sports reimbursement budget
Skills/Tech-stack
Agentic AI | Airflow | Amazon Web Services | Azure | Azure AI | Azure Machine Learning | BigQuery | Causal Inference | Cloud platform | DBT | Databricks | Forecasting | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Microsoft Fabric | Optimization | Probabilistic Forecasting | Python | RAG | SQL | Snowflake | Spark | Statistics | Time Series | Web Services
Education
N/A
Roles
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