Top Data Science Jobs in Richmond, VA

As a Principal Associate Data Scientist, you will lead machine learning model development for credit decisioning, collaborating with cross-functional teams to drive business outcomes through data insights.

The Data Scientist will innovate using ML technologies to analyze data, build models, and create scalable solutions while collaborating with cross-functional teams.

The Data Scientist Manager leads a team in assessing model risks, developing machine learning models, and presenting insights, while leveraging various technologies.

As a Principal Associate in Data Science, you'll leverage technologies to build knowledge graphs, develop modeling algorithms, and collaborate with cross-functional teams to combat fraud in customer banking.

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 role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

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

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

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

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.

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 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.

The role involves developing and deploying machine learning models for anti-money laundering, leveraging advanced analytics, statistics, and large datasets while collaborating with cross-functional teams.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

As a Manager, Data Scientist in Credit Review at Capital One, you will leverage technology to build statistical and machine learning models, translate complex data into business strategies, and lead a team focused on innovative decision-making in credit risk management.

As a Senior Associate Data Scientist, you'll partner with teams to analyze model risks, develop machine learning models, and enhance loss forecasting processes at Capital One.

The role involves leveraging technology stack for data insights, building statistical models, translating complex data work into business goals, and collaborating with a cross-functional team.

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.

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

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.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.