Top Hybrid Data & Analytics Jobs in Richmond, VA

Manager, Data Science - Card Fraud Detection at Capital One. Lead the development and implementation of machine learning models to prevent fraud using Python, AWS, and more. Partner with cross-functional teams to deliver customer-centric products. Ideal candidate is innovative, technically skilled, statistically-minded, and data-savvy. Requires Bachelor's Degree with 6 years of experience or Master's Degree with 4 years of experience in data analytics.

Senior Manager, Machine Learning Engineering role at Capital One focused on designing, building, and delivering ML models for real-world business problems, leading teams, and ensuring high availability and performance of ML applications.

Senior Quantitative Analyst at Capital One focusing on model risk audit, applying expertise in econometric and statistical methods, collaborating with business units, and developing analytical solutions using machine learning technologies.

Work as a Senior Manager in Data and Analytics services within the Healthcare, Pharma & Life Sciences industry. Align client data strategies with business goals, choose data platforms, define data needs, and migrate to a modern cloud data environment. Lead teams in solving complex business issues and leverage technical knowledge in data analytics. Drive innovation, growth, and change for clients by helping them make impactful decisions using data insights.