Top Data Science Jobs in Mexico City

Lead vision, strategy, and execution for AI-powered features in Coupa's Supplier Network. Drive two-sided marketplace growth, monetization, trust/identity, and product-led growth by partnering with engineering, AI/ML, data science, and commercial teams. Define success metrics, engage customers, and monitor AI and marketplace trends to increase liquidity, revenue, and platform differentiation.

Own the acquisition product roadmap and engineering priorities to drive durable user growth. Define target audiences and channel mix, build product-driven acquisition mechanics (referrals, growth loops), enable channel effectiveness (discoverability, search/AI readiness, integrations, tracking), test new acquisition tactics, and align product investment with Performance Marketing, SEO, Partnerships, and Brand while measuring long-term subscriber value.

The Solutions Architect leads technical strategy for accounts, promoting data-driven transformation and adoption of Databricks' products while mentoring team members and engaging with clients.

Lead and define architecture, oversee scrum delivery, delegate tasks, supervise system changes, conduct security audits, liaise with stakeholders, write reports, and hire/train technical staff for scalable backend and data/AI solutions.

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.

Lead product strategy, planning, launch, and lifecycle for hand tools and accessories. Drive cross-functional Agile development, define product roadmaps, manage profitability, support commercial teams, and leverage analytics to inform product decisions and portfolio optimization.

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

As part of the data science team, you will analyze insurance data, create mathematical models, and optimize algorithms based on client feedback.

Support PayJoy's Strategy & Corporate Development team by building complex Excel financial models, evaluating M&A and investment opportunities, conducting market and performance analysis, designing executive presentations, and coordinating cross-functional due diligence to inform strategic decisions for new markets, products, and investments.

The Promoter Agencies Manager will oversee field marketing agencies to drive customer engagement and sales through a national demand generation strategy. Responsibilities include managing agency relationships, analyzing marketing metrics, and coordinating marketing initiatives.

Design, build and scale predictive/prescriptive models and LLM-powered agents grounded in governed data. Take use cases from PoC to production on Azure/Microsoft Fabric/Foundry, apply RAG and multi-agent patterns, implement MLOps, monitoring and Responsible AI guardrails, and partner cross-functionally to measure business impact and drive adoption.

Lead design and delivery of production-grade ML systems with MLOps best practices. Oversee EDA, feature engineering, model selection, CI/CD/CT pipelines, deployment, and post-deployment monitoring for data and concept drift. Act as technical bridge between data engineering and business stakeholders and mentor team members.

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.

Lead clinical data science activities for trials: design and implement data science strategies, oversee statistical models and analytics, mentor team members, collaborate cross-functionally, and present insights to influence project decisions.

As a Senior Clinical Data Science Lead, you will oversee clinical data activities, ensure data quality, manage budgets, and participate in audits. You will lead data review efforts and communicate effectively with stakeholders, ensuring deliverables meet timelines and quality standards.

Lead clinical data science activities for clinical trials: design and implement data science strategies, develop statistical models and visualizations, collaborate cross-functionally, mentor team members, and communicate insights to stakeholders to inform project decisions.

Lead clinical data science activities for clinical trials: design and implement data science strategies, develop statistical models and visualization tools, mentor team members, collaborate cross-functionally, and present insights to influence project decisions.

Design, experiment, evaluate and deploy AI/ML models to production. Monitor model performance, run experimentation, and integrate models into live systems. Lead development across full stack and ensure notebooks transition to production serving real traffic.

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.

Design, build, deploy and monitor ML models for fraud detection, credit risk, churn, cross-sell and collections. Handle large datasets, feature engineering, production-grade code, and scalable feature/model pipelines. Collaborate with risk, fraud, engineering and product teams and integrate new data sources to improve model performance in international 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.