Data Scientist - Financial Planning & Analysis
Tasks
- Apply machine learning
- Apply statistical methods
- Build dashboards and automated reporting
- Build driver based forecasting
- Conduct time series modeling
- Create sensitivity analysis and simulations
- Develop forecasting models
- Document models and methodologies
- Identify data quality issues
- Integrate data from ERP and CRM systems
- Perform variance analysis
- Present recommendations to finance leadership
- Support responsible machine learning and generative AI in finance workflows
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | AWS | Adaptive Planning | Analytics Cloud | Anaplan | Azure | CRM | Causal Inference | Dashboarding | Data Engineering | Data Governance | Databricks | ERP | Exponential Smoothing | Google Cloud | Gradient boosting | Looker | Machine Learning | Microsoft Dynamics | Model Monitoring | Model Validation | Netsuite | Optimization | Oracle | Oracle EPM | Power BI | Predictive Modeling | Probabilistic Forecasting | Python | Regression | SAP | SAP Analytics | SAP Analytics Cloud | SQL | Scenario Planning | Sensitivity Analysis | Series forecasting | Snowflake | Statistical Analysis | Tableau | Time Series | Time Series Forecasting | Variance analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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