26 Data Scientist jobs in Mexico available for remote work from home. Apply for positions such as Data Scientist, Data Scientist, Data Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead and manage data science initiatives within the Digital Operations team, overseeing projects from inception to deployment. Mentor citizen data scientists and collaborate with cross-functional teams to develop advanced analytics models that drive operational improvements.
You will work with the research team to develop applied AI, infrastructure, and tooling to democratize Generative AI. Responsibilities include building RAG pipelines, creating Python libraries for AWS, and implementing neural network architectures.
The Data Scientist will design, develop, and optimize data pipelines in Azure Synapse Analytics while collaborating with technical teams to translate business needs into solutions. They will also maintain data processing workflows, ensure data quality, and support the migration of existing pipelines.
Design, develop, and deploy advanced AI, machine learning, and optimization solutions to enhance business performance and digital transformation. Collaborate with cross-functional teams to translate complex data into actionable insights and scalable production-ready products.
The role involves partnering with Product and Engineering to design experiments and build ML/AI capabilities, including GenAI and recommendation systems. You will establish evaluation practices, monitor model quality, and coach other engineers on AI best practices.
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Lead the end-to-end lifecycle of AI projects, including LLMs, RAG architectures, and agentic workflows from experimentation to production. Collaborate with product managers and domain experts to design scalable AI solutions while contributing directly to software development.
Lead the end-to-end lifecycle of AI projects, including LLMs, RAG architectures, and agentic workflows from experimentation to production. Collaborate with product managers and domain experts to design scalable AI solutions while contributing directly to software development.
You will lead the development of AI-powered topic analytics solutions using machine learning, NLP, and large language models. Additionally, you will design scalable pipelines to process large volumes of customer experience data and develop experimentation frameworks to optimize model performance.
You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
Develop machine learning, NLP, and Generative AI solutions focused on conversational analytics and large language models. Design and optimize prompts while building scalable data pipelines for processing conversational and unstructured text data.
You will collaborate with cross-functional teams to translate complex business needs into scalable, production-ready AI solutions. The role involves developing LLM-powered applications, implementing responsible AI controls, and managing model evaluation frameworks.
Design and develop AI and advanced data science solutions integrated with Azure to drive innovation and efficiency. Build machine learning and deep learning models in Python while translating technical results into business implications.
Develop and deploy predictive models and machine learning algorithms to solve complex business challenges. Collaborate with cross-functional teams to transform large datasets into actionable insights and data-driven strategies.
Design and implement AI-powered agents and RAG applications to automate workflows and enhance data retrieval. Collaborate with business teams to build data pipelines and derive actionable insights for global business decisions.
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Lead end-to-end data science projects by developing advanced machine learning models to solve complex business problems and improve customer experiences. Collaborate with cross-functional teams to translate quantitative findings into scalable, data-informed decisions and product roadmaps.
Develop intelligent solutions combining advanced analytics and Generative AI to solve real business challenges using Python and Azure. Design, test, and deploy AI models while creating technical documentation and supporting sales prospecting efforts.
Design and build end-to-end data pipelines and machine learning models from development to production. Integrate Generative AI tools into the daily workflow to accelerate delivery and collaborate with stakeholders to solve business problems.
Design and build end-to-end data pipelines and machine learning models from development to production. Integrate Generative AI tools into the daily workflow to accelerate delivery and maintain high-impact data systems.
Design and implement AI-native agentic systems and multi-agent workflows to extract structured knowledge from historical and genealogical records. Innovate using state-of-the-art AI for tasks like OCR, NER, and relation extraction while collaborating with ML Ops for cloud deployment.
Analyze customer behavioral patterns and design experiments to evaluate product and marketing changes. Build models and datasets to improve customer segmentation and forecasting while partnering with cross-functional teams to influence business priorities.
Own demand and revenue intelligence by building predictive models for forecasting and lead scoring. Collaborate with Sales and Marketing to translate complex data into actionable narratives that drive executive strategic decisions.
The Senior Data Scientist will collaborate with business teams to devise Data Science solutions for complex challenges, focusing on advanced analytics for manufacturing, including machine data and battery manufacturing. Responsibilities include developing, maintaining, and improving Machine Learning, Deep Learning, and Computer Vision models, and building deployment pipelines.
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