Related skills
python pandas gcp hadoop spark📋 Description
- Define direction within strategic goals; influence multiple teams.
- Deliver tangible business results amid complexity and ambiguity.
- Apply advanced statistical and ML techniques to build predictive models.
- Derive actionable insights from data to inform decisions.
- Bridge technical innovation with real-world business challenges.
🎯 Requirements
- Bachelor's degree in Computer Science or Engineering; 8–12 years leading complex tech projects.
- End-to-end ML; imbalanced data; concept drift; causal inference; A/B tests; NLP/CV.
- Python (Pandas/NumPy) or R; cloud ML; Spark/Hadoop; Kubeflow/MLflow.
- Data strategy: governance, quality, warehousing and lakehouse architectures.
- AI governance: evaluation standards and risk management training.
- Prototype-first delivery; embed with users to define problems.
🎁 Benefits
- Challenging work with real impact.
- Access to cutting-edge AI platforms.
- Diverse and inclusive culture.
- Growth opportunities for development.
- Collaborative and innovative environment where ideas are valued.
- Hybrid working model.
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