Lead Data Scientist
Tasks
- Build agentic workflows and RAG architectures
- Build anomaly detection systems
- Build scalable data science infrastructure
- Deploy forecasting models for finance
- Deploy models into production with engineering teams
- Design experiments to evaluate modeling approaches
- Design machine learning solutions for financial planning
- Develop generative AI solutions for business problems
- Develop optimization models for resource constrained planning
- Mentor data scientists and raise technical standards
- Partner with finance leadership to define data science problems
- Transform model outputs into executive business recommendations
Perks/Benefits
- 401k match
- Adoption reimbursement
- Autonomous work support
- Employee recognition awards
- FSA/HSA
- Fertility benefits
- Flexible time off
- Learning and development opportunities
- Medical, dental & vision coverage
- Parental leave
- Pet insurance
- Telehealth benefits
Skills/Tech-stack
AI Studio | Agentic Workflows | Anomaly Detection | Azure | Azure AI | Azure AI Studio | Azure Foundry | Causal Inference | Experimental Design | Forecasting | Generative AI | Hypothesis Testing | LightGBM | Machine Learning | Optimization | PyTorch | Python | RAG | SQL | SciPy | Scikit-learn | Series forecasting | StatsModels | Time Series | Time Series Forecasting | Transformers | XGBoost
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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