Top Data & Analytics Jobs
As a Senior Manager of Data Science at Capital One's Apollo team, you'll lead a group of data scientists, leveraging machine learning technologies to create insights from large datasets, while collaborating with various stakeholders and delivering impactful data solutions.
As a Senior Manager in Machine Learning Engineering, you will design, build, and deliver machine learning models and components while collaborating with product and data science teams. You'll oversee model training, deployment automation, and ensure compliance with best practices in AI. The role requires strong problem-solving skills and experience in cloud-based architecture and data-intensive solutions.
In this role, you will design and implement machine learning applications and systems at scale. You will collaborate with cross-functional teams to deliver ML models, build optimized data pipelines, and ensure the governance of models and adherence to best practices. Additionally, you will leverage cloud technologies to enhance ML applications and lead efforts in improving the infrastructure and performance of existing systems.
Featured Jobs
As the Director of Data Science for Transaction Intelligence, you will lead the strategic direction and execution of data-driven insights for enhancing digital products, utilizing advanced machine learning and generative AI technologies to fulfill customer needs and improve service experiences, while mentoring a high-performing team.
The Lead Machine Learning Engineer will design, build, and implement machine learning applications, focusing on architecture, code quality, and model performance. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, and ensuring successful deployment of ML models using best practices in MLOPS and Responsible AI.
As a Senior Data Scientist at Capital One, you will collaborate with a cross-functional team to develop machine learning models and leverage technologies to extract insights from large datasets. Your role involves full-cycle model development and translating complex data findings into business strategies.
As a Principal Data Scientist, you will collaborate with a team to develop machine learning models and gain insights from large datasets. Your responsibilities include leveraging technologies like Python and AWS, translating complex data into business objectives, and leading projects that enhance commercial banking solutions.
As a Data Scientist in the Generative AI Systems team at Capital One, you will train and customize large language models for dialogue and image processing, collaborate with software engineers and product managers, build machine learning models, and contribute to top-tier NLP research. You will leverage technologies like PyTorch and Spark to extract insights from large datasets and enhance customer experiences through AI solutions.
The Applied Researcher II will collaborate with a multidisciplinary team to develop AI-powered products, conduct applied research, and build AI foundation models. Responsibilities include leveraging various technologies to analyze significant data, guiding projects through development phases, and translating technical insights into business objectives.
As a Lead Machine Learning Engineer, you will design and implement machine learning applications, collaborating with Agile teams. You will focus on building scalable ML models, optimizing data pipelines, and ensuring high performance and availability of ML systems. Responsibilities include coding, model training, deploying solutions, and monitoring production models.
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