Top Data Science Jobs in Leon

The Account Executive will develop and close business opportunities, achieve sales quotas, and collaborate with cross-functional teams within the enterprise market.

Leads data science strategy across Mexico and Brazil, manages and mentors a distributed team, and remains hands-on building and deploying machine learning models. Establishes modeling standards, infrastructure, delivery practices, and technical roadmaps while partnering with credit leadership on underwriting, valuation, impact measurement, and P&L analysis. Requires strong applied machine learning expertise, prior data science leadership, business communication skills, and understanding of credit or underwriting.

The Director of Product at Tala will oversee product strategy for embedded lending partnerships and lead the design and execution of credit products, ensuring robust integration and performance optimization across various markets.

Develop and validate change-detection and anomaly models on multi-temporal Sentinel imagery for pipeline corridors. Fine-tune geospatial foundation models with LoRA/PEFT, implement SAR displacement methods and dune-migration tracking, engineer data ingestion from Copernicus/STAC sources, design labelling and validation strategies, and communicate results to technical and business stakeholders.

Develop and calibrate change-detection and anomaly models on multi-temporal Sentinel-1/2 imagery to detect sand encroachment and pipeline displacement. Fine-tune geospatial foundation models, implement SAR displacement techniques, build dune-migration tracking, engineer Copernicus data ingestion, design labeling and validation strategy, and communicate results to stakeholders.

The Staff Engineer, Data Science role focuses on leveraging tech skills to enhance team capabilities and provide advanced solutions for client challenges.

Teach and mentor Data Science bootcamp students: lead live lessons and Q&As, provide 1:1 video support, answer messages, review projects, give actionable feedback, troubleshoot code, and share industry best practices. Full-time remote role supporting learners throughout the program.

Full‑stack developer role to build production ML/NLP applications: design Python FastAPI backends, React frontends, deploy on cloud (AWS/ECS/Fargate), use Docker and CI/CD, and implement scalable data processing and inference APIs.