Senior Data Scientist

Responsibilities

• Predictive modeling: Design, build, and optimize models to detect patterns and anticipate outcomes in enterprise data.
• Graph analytics: Apply graph-based methods to uncover relationships and dependencies across large-scale, interconnected datasets.
• Knowledge graphs: Enable AI/GenAI use cases by developing and leveraging knowledge graph architectures.
• Feature engineering: Drive the creation of robust features to enhance downstream models and improve predictive accuracy.
• Model lifecycle management: Own the end-to-end process of model development, from data preparation and training to performance optimization and deployment.
• Cloud-native platforms: Implement scalable solutions within enterprise cloud environments, ensuring reliability and efficiency.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
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