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.

The Senior Public Relations Manager will lead global PR strategy, manage media relations, develop storytelling, and handle reputation management for PayJoy.

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

Lead full-cycle recruitment for US-based technical roles: source, screen, interview, and close candidates. Use advanced sourcing (Boolean, LinkedIn Recruiter, GitHub, StackOverflow), advise hiring managers on market and salary trends, manage candidate experience, and coordinate with US stakeholders through onboarding.

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.

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.

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.

Design, develop, validate, and maintain programming solutions for CDMS/EDC (Rave/Veeva) in clinical trials. Produce data extracts, transfer programs, validation outputs, custom reports, and data review/risk outputs. Collaborate with data management, biostatistics, and project teams, mentor junior programmers, act as primary system programming contact during study setup/maintenance, and improve technical systems and coding standards.

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

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.

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.

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 initiatives for clinical trials, design data strategies, develop statistical models and visualizations, mentor team members, collaborate with cross-functional stakeholders, and present insights to influence project decisions.

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.