Top Data Science Jobs in Mexico

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

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.

Design and implement Industry 4.0 solutions (IoT, AI/ML, robotics, AR/VR, 3D printing, Big Data) to optimize operational and office processes. Integrate with ERP (SAP), MES, PLCs, robots and databases, ensure SOX compliance, support cloud and on-prem deployments, and develop BI/analytics solutions.

The Sr Director leads the development, strategy, and commercialization of Credit Risk Solutions in Mexico, overseeing product innovation and managing cross-functional teams.

Build and deploy statistical and ML models (especially demand forecasting) to improve sales forecast accuracy. Analyze data, create actionable insights, collaborate with stakeholders and regional teams, set analytics standards, monitor model performance, and deliver dashboards and visualizations for supply chain decision-making.

The Manager, Demand Planning leads a team to improve forecast accuracy, working collaboratively with various departments and utilizing data science.

As an Agentic AI Solutions Architect, you will lead client engagements using LLMs and agentic workflows, designing data architectures and implementing AI solutions for operational transformation.

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.

Responsible for creating and maintaining brand- and item-level consensus depletion forecasts by partnering with Marketing, Innovation, Finance and Operations. Translate portfolio and innovation plans into demand outlooks, quantify demand drivers and risks, apply statistical modeling and analytics, present forecast recommendations, and drive cross-functional alignment and continuous improvement in demand planning processes.

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

Manage end-to-end technical recruiting for AI and software roles across LATAM, ensuring clear communication with U.S. hiring managers and supporting team growth in the Mexican market.

Lead strategy and delivery for an AI-powered claims decision-support and auto-adjudication platform. Define vision and roadmap, manage a team of product managers, partner with business, engineering, and data science, and drive adoption, impact measurement, and executive-level communication across a complex, matrixed enterprise.

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.

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.

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.

Lead product-focused data science workstreams to drive product decisions, experimentation, forecasting, segmentation, and AI-enabled analytics. Partner cross-functionally to define metrics, build dashboards, translate findings for stakeholders, and ensure governance and scalable measurement frameworks that improve product performance and revenue.