Top Machine Learning Jobs in Mexico City

The Senior Payments Growth Analyst at LastPass will analyze payment processes using data analytics and machine learning to optimize customer experiences, reduce churn, and drive growth strategies. The role involves collaboration with multiple teams to enhance payment solutions and improve metrics related to customer acquisition and retention.

The Senior Sales Analyst - Data Scientist will analyze large datasets to improve business performance, develop predictive models, and create dashboards for insights. This role collaborates with sales, marketing, and finance teams to optimize commercial outcomes and enhance decision-making processes.

As a Senior Data Scientist at RVO Health, you'll design, implement, and maintain recommendation systems while collaborating with business stakeholders. You will focus on model development, optimization, and effective communication of complex data science concepts, contributing to decision-making and project execution in a hybrid work environment.

As a Strategic Fraud Analyst, you will design and implement fraud prevention strategies, analyze fraud patterns, collaborate with cross-functional teams, and support customer fraud strategies. You'll also produce reports on fraud trends and stay informed about financial fraud developments.

The Vice President of Translational Data Science will lead the strategy for integrating population-scale genetics with machine learning to enhance drug development processes. Responsibilities include identifying disease linkages, driving precision medicine initiatives, developing computational tools, and collaborating across departments to ensure computational biology integrates effectively into therapeutic strategies.

The Senior Data Scientist will perform data analytics using structured and unstructured data, develop metrics and reports into BI dashboards, and work closely with stakeholders to design data-driven solutions. They will also manage ongoing processes, ensure compliance, and collaborate across various functions to enhance analytics delivery infrastructure.

The AI Solution Manager/Senior AI Solution Manager collaborates with business and IT leaders to identify and scope high-impact AI/ML use cases for Fortune 500 clients. They lead cross-functional teams in developing and configuring AI solutions while working closely with sales to expand accounts. Travel to customer sites may be required.

The Principal Data Scientist will lead and mentor the Data Science team, focusing on data analysis to uncover insights, enhance customer experiences, and optimize business strategies. Responsibilities include developing models, conducting statistical analyses, and collaborating closely with technical teams to drive project success and innovation in data utilization.

The Data Scientist Lead will translate business problems into advanced analytical solutions using machine learning, statistical models, and optimization techniques. This role involves collaboration with engineering partners, managing model risk, and maintaining a library of reusable algorithms. The individual will lead analytics projects, guide team members, and communicate insights effectively to business stakeholders.

As a Senior Data Scientist, you will leverage your expertise in machine learning and statistical analysis to develop algorithms and models that optimize marketing campaigns and improve customer loyalty. You will collaborate with cross-functional teams to design and implement data-driven solutions, analyze large datasets, conduct A/B testing, and mentor junior team members.

The Principal Data Scientist will lead the implementation of AI solutions, focusing on generative AI to address complex business problems. Responsibilities include mentoring others, developing predictive models, ensuring data quality, and collaborating on product innovations to deliver value to customers.

The Data Science Senior Manager will lead the Lingo Data Science team, focusing on building next-generation Biowearables. Responsibilities include developing machine learning models, analyzing biological data, discovering trends in large data sets, conducting advanced statistical analyses, and designing signal processing algorithms.

As a Senior Data Scientist on the Search Ranking Team, you will analyze large datasets, develop and deploy machine learning models, and work on optimizing product search rankings using algorithms. You will contribute to solving complex problems in e-commerce, focusing on machine learning applications in areas like NLP, computer vision, and predictive modeling.

The Sr. Manager, Data Science will lead projects focused on optimizing Walmart’s supply chain strategies using advanced analytics and data modeling. Responsibilities include project management, data analysis, and the development of metrics and dashboards, with a goal of enhancing customer experience and operational efficiency.

As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.

The Senior Quantitative Analyst will develop multi-asset investment frameworks, construct portfolios, build algorithms and APIs, research forecasting methods, and mentor junior analysts, all while utilizing advanced optimization and simulation techniques.

The Data Engineer will be responsible for building data pipelines and infrastructure for ML models, analyzing data processing requirements, troubleshooting production issues, and collaborating with different teams at Stanford Health Care. Preferred skills include knowledge of multiple programming languages, resource management, and a collaborative mindset.