Top Data Science Jobs in Mexico

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.

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.

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.

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.

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.

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 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 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.

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

Lead the data platform, pipelines, semantic data model, monthly savings/productivity reporting and low-code ideation application. Build and deploy predictive models, ensure data quality and governance, provide actionable insights to senior leaders, and manage and grow a cross-functional data engineering, analytics and data science team.

Lead data platform, pipelines, reporting and predictive models to drive ideation, savings realization and margin expansion. Manage monthly reporting close, data quality, low-code application, model deployment/monitoring, and a team of data engineers, analysts and scientists. Partner with senior leaders to translate metrics into actionable recommendations and continuously reduce manual effort.

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.

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.

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.