Top Machine Learning Jobs in Ecatepec
As a Staff Data Engineer, you will lead the evolution of the CS Data Platform, building and maintaining data pipelines and APIs, collaborating with cross-functional teams to improve data handling capabilities for AI-driven customer support solutions.
As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.
As a Data Scientist on the Growth team at Wave, you will design, run, and analyze experiments to enhance product features and customer experiences. The role involves working closely with operations and product teams to generate insights from data, applying statistical modeling and machine learning, and communicating findings to stakeholders.
Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.
The Staff Engineer will lead the design and development of GenAI-powered product capabilities, driving technical delivery through the feature lifecycle. Responsibilities include identifying opportunities for AI/ML applications, collaborating across teams, owning service uptime, and developing automation and microservices.
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.
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 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.
As a Senior Data Scientist at Pinterest, you will leverage your expertise in quantitative modeling and experimentation to tackle complex engineering challenges, collaborating cross-functionally to provide insights that enhance product development for millions of users.
The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.
The Senior Data Scientist will develop machine learning models to enhance products and solutions at DICK’S Sporting Goods, conducting data-driven analyses, and providing actionable insights. Responsibilities include advanced analytics, data collection, and improving data strategies to boost business performance.
The Senior Data Scientist will develop and enhance machine learning products to improve DSG's offerings. They will analyze data to identify opportunities, apply advanced analytics techniques including recommender systems, and collaborate with stakeholders to translate findings into business strategies and insights.
The Senior Data Scientist will develop machine learning models to enhance products and services, conduct statistical analyses, and translate business inquiries into data science solutions. Responsibilities also include improving data-driven strategies and leveraging advanced analytics for business performance improvement.
Manage a team of data scientists and machine learning engineers to develop AI products aimed at enhancing business performance. Translate data science outputs for wider business applications and establish data science capabilities across the organization.
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