Top Data Science Jobs in Mexico City

Leads Airbnb’s public policy campaigns in Mexico by developing advocacy strategies, analyzing legislation, building government and coalition relationships, representing the company publicly, and coordinating consultants and agencies. The role advises internal teams on regulatory issues, tracks policy developments, manages stakeholder engagement, and reports campaign progress. It requires extensive public policy or government relations experience, legislative drafting expertise, bilingual Spanish and English fluency, strong communication skills, and the ability to manage complex initiatives.

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.

Leads senior client relationships and multi-market media planning for priority accounts across LATAM. Provides strategic, data-driven guidance on media investment, performance, optimization, KPIs, governance, and business growth. Oversees complex planning workstreams, collaborates with activation and analytics teams, and develops planning capabilities, standards, talent, and quality frameworks. Acts as a trusted senior advisor while driving alignment across global, regional, and cross-functional stakeholders.

Conducts strategic data analysis and statistical modeling on banking data to identify insights, improve data quality, and support business decisions. Develops data visualizations, trains machine learning models, defines analytical requirements, and creates project plans. Partners with business and IT teams to solve complex system issues, implement changes, provide application support, and communicate risks and recommendations. Requires Python, analytics, statistics, Microsoft proficiency, and strong communication skills.

Leads clinical data science review and delivery activities across clinical studies, managing timelines, budgets, resources, analytics, data validation, risk management, and client deliverables. Coordinates cross-functional teams, vendors, and project leads; supports audits, clinical system development, and issue escalation. Requires clinical data management experience, proficiency with a clinical data management system, analytical and validation expertise, and willingness to travel approximately 15%.

Lead four product managers and own PayJoy’s end-to-end onboarding strategy across digital and in-store channels. Drive application, direct-to-consumer, enterprise, and offers/risk product areas; optimize conversion and acquisition costs; guide global versus localized solutions for new markets; ensure regulatory compliance; and collaborate with Engineering, Design, Data, Risk, and Operations to deliver scalable consumer fintech experiences.

Owns end-to-end technical program delivery for launching and scaling financial products across LATAM and South Africa. Coordinates Product, Engineering, Legal, Risk, Design, Operations, vendors, and country teams; manages roadmaps, dependencies, testing, launch readiness, compliance documentation, production operations, and post-launch optimization. Builds repeatable launch playbooks, drives UAT and pilot rollouts, tracks risks and defects, and provides structured status updates to leadership.

Develop and maintain clinical trial eSource databases using ClinSpark, collaborate with site staff on database requirements, ensure protocol and regulatory compliance, document database builds, and improve programming processes. The role requires clinical data science and programming experience, attention to detail, strong communication, English proficiency, and familiarity with clinical trial lifecycle processes.

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

Develop machine learning models and production analytics using large healthcare datasets for disease detection, patient outcome prediction, patient identification, and HCP targeting. Translate client requirements into scalable deliverables, validate new methodologies through client work, collaborate with engineering and product teams to productionize solutions, contribute to AI/ML proofs of concept, and mentor junior team members.

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.

Supports data science projects by exploring large datasets, creating templates and summaries, automating processes, developing analytical solutions, and collaborating with data science teams. The role requires statistical understanding, data analysis, Python experience, database familiarity, logical problem-solving, and the ability to communicate complex concepts clearly. It is designed for students nearing completion of degrees in mathematics, data science, statistics, actuarial science, or related fields.

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 CX Tools & Automation Analyst will automate customer support tickets using APIs, optimize authentication methods, and enhance tooling efficiency while collaborating with stakeholders and documenting changes.

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.

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.