Top Data Science Jobs in Richmond, VA

Manage a team to assess model risks, build and validate machine learning models while leveraging advanced technologies and cross-functional collaboration.

Collaborate with cross-functional teams to build machine learning models, analyze data, and document risk assessments to drive business goals.

The Senior Associate, Data Scientist will partner with cross-functional teams to identify risks associated with models and validate machine learning models across the enterprise, enhancing decision-making while ensuring model governance and risk management.

As a Data Scientist, you will partner with a cross-functional team to identify model risks, build machine learning models, and contribute to model governance in loss forecasting.

As a Data Scientist, you will build fraud detection models, collaborate with cross-functional teams, and leverage technologies to analyze vast datasets.

The Manager of Data Scientist role involves leading a team in identifying model risks, building and validating machine learning models, and contributing to model governance across various business domains.

The role involves developing machine learning models to detect fraud, collaborating with various teams, and leveraging advanced technologies for insights from complex data.

Lead the Emerging Fraud team as a Senior Data Scientist, developing machine learning models to identify and neutralize fraud threats, leveraging a wide range of technologies.

As a Data Scientist, you'll analyze data to deliver innovative solutions at Capital One, leveraging technologies like Generative AI, while collaborating with cross-functional teams to tackle complex problems and build machine learning models.

The role involves developing fraud protection models for Business Cards and Payments by analyzing data, collaborating with teams, and implementing machine learning solutions.

The role involves partnering with teams, leveraging technologies to analyze data, building machine learning models, and translating complex work into business outcomes.

Lead the design and development of scalable machine learning systems, mentor data scientists, and influence product roadmaps to enhance customer experience and business outcomes.

As a Data Scientist Manager, you'll leverage tech to enhance credit review models, work collaboratively, and drive business outcomes through data analysis and machine learning.

The Data Scientist will analyze user behavior data, design experiments, create dashboards, and provide insights to drive business growth and optimize products.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

As a Principal Data Scientist, you'll leverage machine learning to derive insights from data, collaborate with teams, and enhance payment processes.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

Analyze and interpret complex data sets, develop predictive models, collaborate with teams, create visualizations, and communicate insights.

The Principal Data Scientist will partner with a cross-functional team to build machine learning models, leveraging various technologies and translating complex data insights into business goals.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

The Senior Data Scientist will lead data analytics projects, developing AI/ML models for strategic decisions while mentoring team members and ensuring responsible AI practices.

Lead the development of advanced analytics and AI/ML models, involving statistical modeling and machine learning, to provide actionable insights for stakeholders and clients.