Senior Data Scientist
Tasks
- Apply statistical predictive and prescriptive modeling
- Build and maintain production grade data science solutions
- Build forecasting models
- Build reusable modeling frameworks
- Collaborate to ensure data readiness and solution adoption
- Design and implement causal inference methods
- Develop and deploy machine learning models
- Develop intelligent agents and AI assisted decision systems
- Develop optimization approaches for resource allocation and scheduling
- 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
- Translate data into actionable business insights
- Validate modeling approaches across teams
Perks/Benefits
- Career development roadmap
- Cozy office space
- Hybrid work options
- Multisport cards
- Premium health insurance
- Psychological consultations
- Self Care Program
- Team events
- Training policy
- Transportation subsidies
- Vacation days
Skills/Tech-stack
AWS | Agent systems | Airflow | Azure | Azure Machine Learning | Causal Inference | Cloud platform | DBT | Databricks | Experimentation | Generative AI | Google BigQuery | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Machine Learning | Marketing Mix | Marketing Mix Modeling | Microsoft Fabric | Mix Modeling | Optimization | Probabilistic Forecasting | Python | RAG | Retrieval-Augmented Generation | SQL | Series forecasting | Snowflake | Spark | Statistics | Time Series | Time Series Forecasting | Uplift Modeling
Education
N/A
Roles
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