Title: Data Scientist
Location: Hybrid - 3 days in office in Mexico City 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 Tecnoparque (CDMX) or in Toluca

📌 Data Scientist (Ciudad Nezahualcóyotl)
🏢 EXL
📍 Ciudad Nezahualcóyotl