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