Top Data Science Jobs in Richmond, VA

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.

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.

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.

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 Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

As a Data Scientist, you will develop advanced fraud detection models, collaborate with teams, analyze data for insights, optimize models, and ensure compliance with data privacy.

The Staff Data Scientist will oversee Foodsmart's member growth analytics, focusing on marketing and product funnel optimization, experimentation, attribution modeling, and enhancing self-service analytic tools while collaborating closely with leadership and cross-functional teams.

As a Data Scientist II, you will analyze complex data, develop statistical models, and create data visualizations to support internal clients and enhance analytics capabilities. You will collaborate with technical leads and stakeholders, ensuring data quality and accuracy in deliverables.

The Data Scientist II will develop and improve machine learning models for document verification, engaging in model diagnostics and optimization, and collaborating with cross-functional teams to meet performance requirements.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

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.