Artificial Intelligence & Machine Learning, Off
Tasks
- Collaborate with data engineering and platform teams to deliver scalable analytics solutions
- Conduct data exploration feature engineering and validation
- Design develop and maintain analytical models aligned with business objectives
- Document govern and monitor analytical models
- Improve analytics methodologies tooling and best practices
- Partner with business teams to define analytical problem statements
- Perform quantitative analysis on large datasets to support investment and business decisions
- Translate analytical results into actionable insights for non technical stakeholders
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
Attribution Analysis | Classification | Data Governance | Data Modeling | Econometrics | Feature Engineering | Forecasting | Gradient boosting | Machine Learning | Model Monitoring | NumPy | Pandas | Predictive Modeling | Python | Regression | SQL | Scikit-learn | Series analysis | Statistics | StatsModels | Time Series | Time Series Analysis
Education
Roles
Data Scientist | Officer | Quantitative Analysis Officer | Scientist
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