Top Machine Learning Jobs in Mexico

This role designs and optimizes complex data warehouses, collaborates with IT and business teams, and ensures data quality and accessibility for BI applications.

Manage a team of data scientists to build machine learning models and improve customer experience while ensuring data security. Collaborate cross-functionally to address fraud threats and enhance financial decision products.

Lead the data science team, integrate machine learning, ensure high-quality project delivery, and foster collaboration across departments to maximize data impact.

As a Senior Associate, you'll develop credit risk models, enhance analytical frameworks, identify automation opportunities, and collaborate on cloud-based solutions.

As a Principal Associate, you'll validate financial models, develop strategies for model performance, and enhance data-driven decision-making with a focus on econometric and statistical analysis.

The Head of Data, Digital & Technology leads IT strategy for Plasma Derived Therapies, optimizing technology, managing budgets, and fostering innovation while ensuring data compliance and stakeholder management.

The Director of Technology will lead analytics strategies for data-driven decision-making, optimizing technology infrastructure, managing teams, and promoting a data-centric culture across the organization.

As a Decision Analytics Associate Consultant, you will leverage quantitative skills to provide business analytics solutions, work directly with clients, and utilize advanced data analytics techniques in the pharmaceutical sector.

The Machine Learning Engineer II will develop and deploy machine learning models, conduct exploratory data analysis, and collaborate across teams to enhance product discovery for Chewy customers.

As a Data Scientist at Qualtrics, collaborate with teams to develop data products, apply statistical methods, and extract insights to address business needs.

As a Senior Data Analyst, you will lead data-driven initiatives, mentor junior analysts, and collaborate to provide actionable business insights.

The Sr. Director of AI & Data Science develops and implements AI solutions, leads teams, drives innovation, and aligns AI initiatives with business goals to deliver measurable outcomes.

The role involves managing data collection and analysis, designing experiments, and building data processing pipelines while collaborating with cross-functional teams in AI research.

Develop advanced machine learning models for credit risk, mentor junior data scientists, and support data-driven decision-making to enhance business profitability.

Lead the development of algorithms for insights using WHOOP data; collaborate with MLOps engineers and product teams to leverage datasets.

The Principal Data Scientist will lead AI-powered product development, specializing in Natural Language Processing and machine learning models, and collaborate with cross-functional teams to leverage complex data insights.

Lead data science projects to optimize drug development using AI, collaborate with teams, and present findings to stakeholders.