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The Data Science Internship involves working with a team to apply programming languages and machine learning techniques for data analysis. Responsibilities include evaluating modeling tools, integrating data sources, and designing data science models to derive actionable insights. Interns will work closely with managers to align on post-internship opportunities.
As a Data Science Intern, you'll work on data analysis, machine learning, and developing data models to deliver insights for Capital One. You'll evaluate analytical tools, integrate data sources, and support machine learning initiatives while continuing your academic fulfillment.
This data science internship at Capital One involves using programming languages for data analysis and machine learning techniques. Interns will evaluate modeling tools, integrate data to discover insights, and design data science models. The internship spans ten weeks, with opportunities for future full-time positions. Candidates must be pursuing a PhD and have experience in relevant fields.
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Lead the product management function for a portfolio of Source Code Management products, collaborate across various teams, drive product strategy and lifecycle from ideation to launch, and utilize empathy and design thinking to enhance customer experiences.
As a Senior Director of Product for Enterprise Data, you will create a long-term vision for data pipelines, drive innovative product features, and lead a team to enhance customer experiences through technology. Your role includes strategic leadership, fostering agile practices, and ensuring alignment with business needs to drive transformational change.
The Sr. Product Manager for Observability & Governance at Capital One will lead product strategies and roadmaps, engaging with engineers and stakeholders to define and deliver innovative solutions. Responsibilities include operationalizing product metrics, driving cross-functional collaboration, and improving the engineer and SRE experience.
The Director of Technical Program Management will lead machine learning initiatives, collaborating with cross-functional teams to create roadmaps, define program scopes, and oversee the delivery of scalable ML products. They will also help develop the TPM discipline in the organization and communicate effectively with stakeholders.
The Senior Director of Product, Data Management will lead the creation of a long-term vision and strategy for Capital One's Enterprise Data Protection and Remediation products. Responsibilities include driving innovative product features, fostering agile practices, and promoting a culture of data integration to enhance customer and business value.
The Senior Manager will enhance how the organization assesses cybersecurity and technology risk, leading the methodology and practices, advocating for new practices, and providing expert guidance across the Technology Risk Management team.
The Principal Associate in Risk Management is responsible for enhancing the customer experience in risk management by implementing innovative solutions, analyzing risk data, and developing strategies to influence enterprise risk management. This role requires strong analytical skills, effective communication, and the ability to collaborate with cross-functional teams, senior leaders, and external partners.
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