Top Data & Analytics Jobs
As a Data Scientist at Capital One, you will partner with a cross-functional team to deliver products, leverage various technologies to analyze data, build machine learning models, and translate complex work into business goals.
As a Senior Data Scientist at Capital One, you will partner with a cross-functional team to deliver products customers love, leverage a broad stack of technologies to reveal insights from data, build machine learning models, and translate complex work into tangible business goals. The ideal candidate is innovative, creative, technically proficient, statistically-minded, and a data guru. Basic qualifications include a Bachelor's Degree with 2 years of data analytics experience, experience in open source programming languages, machine learning, and relational databases. Preferred qualifications include a Master's Degree in a STEM field, experience with AWS, and 2 years of experience in Python, Scala, or R.
The Principal Data Analyst at Capital One will innovate and maintain data solutions, improve business intelligence tools, and manage data quality. Responsibilities include utilizing data from various sources to provide insights, developing dashboards, and ensuring data governance in collaboration with tech teams.
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Partner with a cross-functional team to deliver AI-powered products, build AI foundation models, engage in applied research, and translate complex work into business goals.
As a Senior Machine Learning Engineer, you will design and implement machine learning applications, collaborate with agile teams, build and maintain data pipelines, and ensure ML models are production-ready. You will optimize data structures and continuously improve systems while focusing on high availability and performance.
Responsible for managing daily, monthly delivery and issue remediation of financial data and reports in the Capital Markets Analytics - Automation and Data team. Collaborate with business partners to analyze regulations, perform data analysis using SQL and Python, drive process improvements, and communicate with senior management.
Be part of a team designing and building Enterprise Level scalable, low-latency, fault-tolerant streaming data platform. Build distributed streaming data pipelines and analytics data stores using streaming frameworks like Flink and Spark. Collaborate with Agile teams to design, develop, test, and implement technical solutions using full-stack development tools and technologies.
Senior Manager, Data Science role at a Fortune 200 company specializing in credit card industry disruption and data-driven decision-making. Responsibilities include partnering with cross-functional teams, building machine learning models, leveraging technologies like Python and AWS, and translating complex work into business goals. Ideal candidate is customer-focused, a leader, technically proficient, and a data guru. Basic qualifications include a Bachelor's Degree with 7 years of experience in data analytics or a Master's Degree with 5 years of experience.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records. The role involves harnessing transformer model architectures, managing large-scale data annotation projects, collaborating with machine learning engineers, and leveraging a broad stack of technologies to automate workflows using huge volumes of text audio, and vision data.
The Principal Associate , Data Science - Servicing Intelligence at Capital One is responsible for harnessing the power of transformer model architectures, fine-tuning large language models, managing data annotation projects, building machine learning solutions, collaborating with stakeholders, and leveraging a broad stack of technologies to automate workflows using text, audio, and vision data.
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