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

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