Senior Data Scientist

📋 Description

• Define direction within strategic goals and influence multiple teams.
• Bridge technical innovation with real-world business challenges.
• Deliver tangible business results using predictive ML models.
• Build predictive models and derive actionable insights.
• Navigate high complexity and ambiguity autonomously.

🎯 Requirements

• Bachelor's in CS or Engineering; 8–12 yrs leading complex tech projects.
• Advanced ML and statistics: imbalanced data, concept drift, A/B tests.
• Python (Pandas, NumPy) or R; cloud ML: SageMaker, Vertex AI, Azure.
• Big data: Spark, Hadoop; MLOps: Kubeflow, MLflow, Docker.
• Data immersion: translate business needs into engineering solutions.
• Rapid prototyping with prototype-first delivery.

🎁 Benefits

• Challenging work with real impact.
• Direct Access to cutting-edge AI platforms.
• Diverse and inclusive culture.
• Growth opportunities for personal and professional development.
• Collaborative, innovative environment where ideas are valued.
• Hybrid working model.