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.

Lead and develop a strategic consulting practice, providing data-driven insights to improve fleet performance, manage teams, and ensure high-quality client engagement.

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 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.

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.

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.

Lead client-facing marketing analytics engagements delivering MMM and attribution analyses, translate insights into action, present to senior stakeholders, mentor associates, collaborate with Data/Modeling/Product teams, and drive product feedback and client retention.

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

Lead end-to-end clinical data review and delivery for trials, ensuring data fit for analysis, meeting timelines and budgets. Forecast resourcing, perform analytic reviews, participate in audits, contribute to clinical system development and risk management, and mentor teams. Travel ~15%.

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

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.

The Clinical Data Science Programmer will develop SAS code for data conversion and validation, support the Clinical Data Management System, and ensure compliance with industry standards.