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Senior Data Scientist
Expleo GroupSenior Data Scientist designing and maintaining data infrastructure at Expleo. Collaborating on data solutions and predictive modeling for enterprise data.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
- 7+ years of experience in Data Engineering
- Strong expertise in Python and modern machine learning frameworks
- Proven experience with graph analytics and knowledge graph applications.
- Deep understanding of cloud-native platforms (e.g., AWS, Azure, GCP).
- Track record of delivering production-ready models in enterprise environments.
- Ability to collaborate with cross-functional teams to translate business challenges into data-driven solutions.
Benefits
Comp & perks- Flexible working arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Predictive ModelingGraph AnalyticsKnowledge Graph DevelopmentFeature EngineeringModel Lifecycle ManagementPython ProgrammingMachine Learning FrameworksData PreparationPerformance OptimizationDeployment
Soft Skills
CollaborationCross-Functional Teamwork