Top Data Science Jobs in Mexico

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Supports product portfolio planning, customer experience prioritization, business case analysis, cost and profitability targets, strategic studies, and project planning. The role analyzes and visualizes data, applies AI and machine learning under guidance, and communicates findings to varied audiences while collaborating with cross-functional and regional management teams.

Configure and implement Fenergo solutions for AML and sanctions compliance, translating business and regulatory requirements into effective system configurations. Analyze complex data, apply advanced analytics and AI fluency, develop client business cases, demonstrate FenX capabilities, improve processes, engage stakeholders, and manage team members while delivering strategic consulting insights.

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.

Supervise a customer support team by managing daily operations, escalations, coaching, performance reviews, training, attendance, and KPI achievement. Coordinate with internal managers and HR, ensure equipment and service needs are met, and communicate with clients regarding complex requests, complaints, processes, and continuous improvement. The role also supports team development, culture building, and customer service quality.

Lead four product managers and own PayJoy’s end-to-end onboarding strategy across digital and in-store channels. Drive application, direct-to-consumer, enterprise, and offers/risk product areas; optimize conversion and acquisition costs; guide global versus localized solutions for new markets; ensure regulatory compliance; and collaborate with Engineering, Design, Data, Risk, and Operations to deliver scalable consumer fintech experiences.

Owns end-to-end technical program delivery for launching and scaling financial products across LATAM and South Africa. Coordinates Product, Engineering, Legal, Risk, Design, Operations, vendors, and country teams; manages roadmaps, dependencies, testing, launch readiness, compliance documentation, production operations, and post-launch optimization. Builds repeatable launch playbooks, drives UAT and pilot rollouts, tracks risks and defects, and provides structured status updates to leadership.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

Analyzes workforce and healthcare data to identify trends, build predictive and machine learning models, and deliver actionable recommendations. Uses Python, Alteryx, and Power BI for analytics, visualization, and reporting. The role supports workforce strategy, employee engagement, organizational effectiveness, talent management, and healthcare cost insights. Responsibilities also include client collaboration, relationship management, team guidance, and applying risk adjustment and medical economics concepts to inform strategic decisions.

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 productionize predictive and prescriptive models, LLM-powered agents, and copilots for LATAM business decisions. Apply RAG, prompt engineering, tool calling, orchestration, semantic grounding, evaluation, guardrails, and responsible AI practices. Partner with engineering, governance, and commercial teams to operationalize solutions on Azure and Microsoft Fabric, monitor performance and costs, communicate business impact, and promote data and AI fluency.

Lead paid media analytics for Life Company, using SQL/Python and advanced statistics to measure and optimize paid social/search and AI-powered search. Build audience segmentation, run incrementality/experimentation, create visualizations and recommendations, and partner with marketing to drive acquisition and engagement.

Leads clinical data science review and delivery activities across study lifecycles for Mexico and Colombia. Responsibilities include planning milestones, reviewing clinical data for meaningful errors, managing timelines, budgets, resources, risks, and deliverables, coordinating cross-functional teams and clients, supporting clinical system development, participating in audits, and escalating issues. Requires clinical data management experience, clinical data systems proficiency, analytics and validation expertise, project leadership, and approximately 15% travel.

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.

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.

Leads AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI. Manages technical teams, develops AI talent, oversees systems from experimentation through production, establishes evaluation and responsible AI frameworks, and partners with product, technology, and business leaders to shape roadmaps and deliver measurable customer and business outcomes.

Leads AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI. Manages technical teams, develops talent, and oversees AI systems from experimentation through production. Builds LLM, RAG, semantic search, and knowledge-discovery solutions; establishes evaluation frameworks, quality metrics, experimentation practices, and responsible AI standards. Partners with product, technology, and business leaders to shape roadmaps and deliver measurable customer and business outcomes.

Supports data science projects by exploring large datasets, creating templates and summaries, automating processes, developing analytical solutions, and collaborating with data science teams. The role requires statistical understanding, data analysis, Python experience, database familiarity, logical problem-solving, and the ability to communicate complex concepts clearly. It is designed for students nearing completion of degrees in mathematics, data science, statistics, actuarial science, or related fields.

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.

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 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.

As a Staff Engineer in Data Science, you will leverage your coding skills to tackle client challenges, guide teammates, and enhance solutions for greater success.

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