Top Senior Data Science Jobs in Richmond, VA

The role involves managing AI and Generative AI projects, leading teams, and leveraging advanced analytics to solve complex business problems, ensuring quality and client satisfaction.

As a Senior Manager, Data Scientist at Capital One, you will leverage advanced technologies to build statistical and machine learning models, translate complex data insights into business goals, and lead a team focused on innovative credit review solutions.

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.

Lead a team to develop machine learning models for credit decisions, collaborating with cross-functional teams to drive data insights.

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

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.

Lead the Data Science team to innovate credit forecasting models, leveraging machine learning and data infrastructure to improve customer products and experiences.

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

The role involves leading predictive analytics efforts in risk and quality use cases, mentoring team members, applying analytics for decision-making, and fostering innovation.

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.

As a Principal Associate, Data Scientist, you will develop machine learning models and analytics to combat money laundering, collaborating with a cross-functional team and modernizing risk management practices.

In this role, you will develop machine learning models for Anti-Money Laundering using advanced analytics and work with cross-functional teams.

The role involves leveraging machine learning for risk management, collaborating with cross-functional teams, and developing insights from large data sets.

Lead development and deployment of generative AI solutions for financial data analysis. Fine-tune multimodal LLMs, manage large-scale data annotation, build and maintain model/data pipelines with engineers, leverage Python/PyTorch/HuggingFace/Dask/LangChain, and translate technical work into business outcomes.

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

Manage data science initiatives to develop machine learning models and collaborate with cross-functional teams for data-driven solutions, focusing on customer-centric innovation.

Lead model risk audits by reviewing model development, validation, and implementation; partner cross-functionally to build and evaluate ML/NLP solutions using Python, Spark, H2O, and AWS; translate technical findings into business risk insights and drive model risk governance.

As a Principal Data Scientist, you will develop machine learning models, collaborate with cross-functional teams, and interpret data insights to enhance customer management decisions.

As a Principal Data Scientist, you will develop predictive models to forecast credit outcomes, apply explainability techniques, and collaborate with cross-functional teams on AI-based decisioning in finance.

As a Principal Data Scientist, you'll develop predictive models, apply explainability techniques, and collaborate in AI-based decisioning in a regulated environment.

The Principal Data Scientist will develop predictive models, apply explainability techniques, and collaborate with cross-functional teams to drive credit decision-making using advanced analytics and machine learning.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

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

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.