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.

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.

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.

Lead the development, validation, and maintenance of clinical data programming solutions for EDC/CDMS systems, vendor data, analytics, reports, integrations, and data transfers. Provide technical leadership across studies, serve as a programming subject matter expert, mentor programmers, support study teams, and drive automation and process improvements. Collaborate with data managers, biostatisticians, and project managers to ensure high-quality clinical trial data management solutions.

Leads end-to-end clinical data review and delivery activities across studies, ensuring quality, timeliness, budget adherence, and data fitness for analysis. Oversees analytic review, clinical system development input, risk management, planning, resourcing, and audit participation. Serves as the primary contact for internal and external stakeholders, manages multiple projects, and provides leadership, mentoring, and subject matter expertise. The role requires approximately 15% domestic or international travel.

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.

Leads clinical data science programming for clinical trials, including EDC/CDMS solutions, data validation, analytics, risk management outputs, custom reports, vendor data handling, data transfers, and system extracts. Collaborates with cross-functional teams, serves as a programming subject matter expert, mentors programmers, supports training and knowledge sharing, and improves technical systems and processes.

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.

ICON is seeking clinical data science professionals across Latin America with experience in clinical data management, clinical systems, data standards, risk management, analytics, or related areas. Responsibilities and opportunities will vary across current and future roles. Candidates should understand clinical trial processes and data flows, demonstrate strong analytical skills and attention to detail, and value quality, innovation, and continuous learning.

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.

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.

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

Teach and mentor Data Science bootcamp students: lead live lessons and Q&As, provide 1:1 video support, answer messages, review projects, give actionable feedback, troubleshoot code, and share industry best practices. Full-time remote role supporting learners throughout the program.