Top Data Science Jobs in Mexico

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.

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 hands-on data science and commercial analytics projects for Pfizer’s North America organization. Develops statistical analyses, data mining models, experiments, and advanced analytical solutions using large datasets to address marketing, sales, and customer insights questions. Partners with senior stakeholders and cross-functional teams to support data-driven decisions, while applying rigorous experimental design and communicating results effectively. The role requires substantial coding in Python, R, and SQL, with meaningful contributions to analytics and experimental work beyond people management.

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

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.

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.

Leads Scribd’s content intelligence and UGC supply portfolio, owning corpus classification, metadata, quality, gap analysis, AI infrastructure, contributor experiences, and content acquisition strategy. Partners with ML, engineering, data science, consumer product, and business development teams to connect content supply with business value. Manages senior product leaders and established engineering and analytics programs while setting portfolio roadmaps and representing content strategy with executives.

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

Own the acquisition product roadmap and engineering priorities to drive durable user growth. Define target audiences and channel mix, build product-driven acquisition mechanics (referrals, growth loops), enable channel effectiveness (discoverability, search/AI readiness, integrations, tracking), test new acquisition tactics, and align product investment with Performance Marketing, SEO, Partnerships, and Brand while measuring long-term subscriber value.

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.

Develops and validates statistical programming code for clinical trial data analysis and reporting. Collaborates with data scientists and statisticians, ensures regulatory and industry-standard compliance, maintains programming documentation, and reviews analysis datasets and final reports for accuracy and completeness.

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.

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.

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.

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.

Provide digital analytics and experimentation insights for Life Company digital teams. Use SQL, Python, and platforms like Adobe Analytics, Glassbox, and Optimizely to analyze customer journeys and funnels, run EDA, create visualizations, document methodology, and deliver actionable recommendations to influence product and business decisions.

Lead design, development, validation, and deployment of simulation and ML/GenAI models for strategic insurance decision-making. Perform scenario and risk analysis, translate business problems into simulation frameworks, interpret large datasets, advise executives, mentor junior staff, and partner with governance, legal, IT, and business stakeholders to ensure model rigor, compliance, and actionable recommendations.

Develop and calibrate change-detection and anomaly models on multi-temporal Sentinel-1/2 imagery to detect sand encroachment and pipeline displacement. Fine-tune geospatial foundation models, implement SAR displacement techniques, build dune-migration tracking, engineer Copernicus data ingestion, design labeling and validation strategy, and communicate results to stakeholders.

Lead technical strategy and execution for production clinical AI across a portfolio: set AI direction, ensure regulatory and governance alignment, partner with product and engineering, improve model evaluation/monitoring and production reliability/cost/latency, promote reusable model patterns, and hire/coach data science leaders to scale clinical AI capabilities.

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.