Senior Data Scientist
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Location:
Hybrid
- 3 days in office in Mexico City (Azcapotzalco) or Toluca Duration: Full Time Role Summary: Develop advanced analytics and graph-based intelligence solutions to uncover patterns, relationships, and actionable insights for business and risk use cases.
Key Responsibilities
• Design and implement knowledge graph models and semantic structures.
• Apply data mining techniques to detect trends, anomalies, and hidden links.
• Build data preparation, enrichment, and validation pipelines.
• Collaborate with engineering teams to produce models and graph services.
• Communicate findings clearly to technical and non-technical stakeholders.
• Ensure model/data traceability, quality, and governance alignment. AI Skills for This Role:
• Use LLM-assisted workflows for hypothesis generation and analysis acceleration.
• Apply AI methods for graph reasoning, entity linking, and relationship discovery.
• Evaluate model outputs critically for bias, drift, leakage, and reliability.
• Use AI tools responsibly with strong data privacy and governance practices. Required
Qualifications:
• 5+ years in data science or advanced analytics.
• English proficiency: professional working level or above (B2/C1 preferred).
• Practical experience with knowledge graphs and semantic modeling.
• Strong Python skills for analytics, modeling, and experimentation.
• Solid foundation in statistics and machine learning.
• Experience with complex, high-volume, or unstructured data. Nice to Have:
• Experience with graph databases (for example Neo4j) and NLP.
• Use cases in fraud, risk, compliance, or operational intelligence.
• Familiarity with MLOps and production model lifecycle management. Work model: Hybrid
- 3 days on-site at Client's offices in Azcapotzalco (CDMX) or in Toluca
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