Top Data & Analytics Jobs

As a Senior/Principal Machine Learning Engineer at Roblox, you will create innovative machine learning solutions for search and recommendation systems within the Marketplace. Responsibilities include building end-to-end ML systems, collaborating with teams, delivering complex projects, and mentoring junior engineers, ensuring scalable and reliable systems.

As a Senior Technical Director on Discovery at Roblox, you'll lead machine learning initiatives for search and recommendation systems, own technical direction, drive content distribution, and collaborate with teams. Your role involves delivering scalable ML solutions while fostering an engineering culture of excellence, adapting technologies, and simplifying complex problems.

As a Technical Director on Discovery at Roblox, you will oversee the technical vision and execution for machine learning initiatives related to search and recommendations. Responsibilities include guiding engineers, authoring feature specs, researching new technologies, and collaborating across teams to enhance user engagement and retention.

As a Senior Machine Learning Engineer, you will build innovative ML solutions for search and recommendation systems, leading projects from planning through execution while mentoring junior engineers. You'll tackle diverse technical challenges to improve the Marketplace's content discovery and personalization experiences for users.

The role involves building large-scale machine learning systems for user connections on the Roblox platform, focusing on social features and user retention. Responsibilities include applying machine learning to the social graph, mentoring junior engineers, and defining long-term ML strategies.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies that support Capital One's Data Strategy, working collaboratively across teams to design ontology-based data products. They will guide the development of semantic technology integration, manage teams, and mentor junior associates while advocating for the importance of ontology in business outcomes.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies in support of Capital One's Data Strategy, collaborating across teams to integrate semantic technology into products. Responsibilities include guiding the design of ontology-driven data products, communicating with stakeholders, mentoring junior staff, and contributing to the company's cultural and recruiting efforts.

The Research Scientist in NLP will develop innovative solutions using machine learning techniques, focusing on long-context question-answering, complex reasoning, and improving alignment techniques. The role involves publishing in top-tier conferences, creating evaluation benchmarks, and enhancing large language models while collaborating with academic institutions.

As a Lead Machine Learning Engineer, you will design, develop, and implement ML applications, manage model performance, and collaborate with Agile teams to solve business problems. The role involves maintaining production models, leveraging cloud technologies, and ensuring best practices in responsible AI.

As a Lead Machine Learning Engineer at Capital One, you'll design and implement machine learning applications, collaborate with cross-functional teams, and solve complex problems through coding and model validation. You'll ensure high performance and reliability of deployed models while leveraging cloud technologies and CI/CD practices.

The Manager of Ontology and Data Modeling at Capital One is responsible for developing enterprise ontologies supporting the company's Data Strategy. This role involves collaborating across teams to create domain ontologies, prioritizing a roadmap for data model development, mentoring junior staff, and advocating for semantic technology integration into products and services while adhering to industry standards.

The Director of Data Engineering will oversee the management and development of data products, drive cohesive data strategies, and build teams delivering scalable data and fraud products. This role requires collaboration with various stakeholders, embracing new technologies and platforms, while ensuring adherence to engineering best practices.

The Sr. Business Manager in Global Workplace Services will lead the Workplace Analytics Team, focusing on using data and technology to improve workplace efficiency. Responsibilities include developing machine learning models, collaborating with cross-functional teams, mentoring analysts, and driving strategic business initiatives to enhance credit performance and operational excellence.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies, collaborate across teams to enhance data strategies, and drive initiatives related to semantic technology integration. Responsibilities include defining problem statements, prioritizing roadmaps, mentoring junior associates, and advocating for ontology value across the business.

As a Machine Learning Scientist in the Machine Learning Center of Excellence, you will research and develop high-performance machine learning models, collaborate across the firm to deliver impactful solutions, and design scalable data processing pipelines. This role requires expertise in NLP, speech analytics, and deep learning, with a focus on applying machine learning to drive business results.

As a Sr. Machine Learning Engineer, you will lead the development and implementation of models and algorithms, oversee complex data analysis, and manage ML Ops to create innovative solutions for customer products. You will work in a cross-functional environment, ensuring transparency and effective communication with senior management.

As a Machine Learning Engineer, you will conduct data analysis, develop algorithms and models, manage machine learning operations, and enhance user products by addressing complex machine learning challenges in an agile environment. You'll communicate findings to management and influence team standards.