Lead Data Scientist
Tasks
- Build and optimize Power Apps solutions
- Build and optimize Power BI dashboards and reports
- Collaborate with cross-functional teams on analytics solutions
- Create DAX measures and KPIs
- Design and implement data pipelines with extract transform load
- Develop Power Automate workflows and business process automations
- Develop and deploy machine learning models
- Integrate systems and orchestrate automated workflows
- Optimize Power BI report performance
- Preprocess and engineer features
- Provide technical leadership and mentor junior team members
- Train and evaluate regression classification clustering and deep learning models
- Use Power Query Power Pivot and Power View for large datasets
Perks/Benefits
- Flexible hybrid schedule
- Health and life insurance
- Paid time off
- Pension/retirement benefits
- Personal and family care
- Well-being benefits
Skills/Tech-stack
BI performance optimization | Classification | Clustering | Custom Connectors | DAX | Dashboards | Data Pipelines | Data Preprocessing | Data Visualization | Deep learning | Feature Engineering | Machine Learning | Model Driven | Model Driven Apps | NumPy | Oracle | Pandas | Performance optimization | Power Apps | Power Apps Canvas | Power Automate | Power BI | Power BI Performance | Power BI Performance Optimization | Power Pivot | Power Query | Power View | PyTorch | Python | Regression | SQL | Scikit-learn | Snowflake | Stored Procedures | TensorFlow
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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