Top Data Science Jobs in Richmond, VA

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 Principal Associate, Data Scientist will leverage machine learning technologies and data analysis to drive insights and solutions for a retail banking team, collaborating with cross-functional teams.

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.

The role involves leveraging technologies like Python and AWS to develop statistical and machine learning models, translating complex data insights into business goals, and working with a cross-functional team.

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.

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.

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

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.

As a Data Scientist, you'll leverage data to drive corporate strategy by building machine learning models and collaborating with cross-functional teams.

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 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 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 Manager, lead analytics initiatives, develop advanced models, and partner with leaders to drive data insights into business strategy.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The role involves leveraging advanced analytics and machine learning to assess and mitigate credit and fraud risks, developing scalable modeling solutions while collaborating with stakeholders.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

Lead development of analytical pipelines and statistical models using R and Python for clinical data processing and reporting. Mentor peers and ensure compliance with regulatory standards.

As a Data Scientist, you'll build production-grade ML systems for HVAC efficiency, working on scaling models, database optimization, and real-time monitoring systems.