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Top Data Science Jobs in Richmond, VA
As an AI and GenAI Data Scientist at PwC, you will leverage machine learning techniques to analyze large datasets and develop predictive models. Your role involves statistical analysis, data visualization, and collaborating with clients to address their business challenges using advanced data analytics.
As a Manager of Data Science at Capital One, you will leverage advanced computing and machine learning technologies to extract insights from large datasets. You will work with cross-functional teams to build and implement data-driven solutions, manage machine learning model development, and communicate complex concepts to stakeholders.
The Strategic Data Science Lead drives data-driven initiatives and strategic planning through data collection, analysis, model development, and stakeholder engagement. This role includes developing AI/ML models, conducting feasibility analyses, and collaborating with cross-functional teams to align on strategic objectives.
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As a Senior Data Scientist at Thumbtack, you will leverage data to drive business decisions by conducting quantitative research, designing experiments, and collaborating with cross-functional teams on product development. Your role involves scoping new features, monitoring key metrics, and contributing to data culture while mentoring team members.
The Research Scientist will focus on productionalizing and deploying machine learning models within the Personal Loans, Underwriting team. Responsibilities include building and maintaining risk evaluation models, collaborating with the Machine Learning team, and applying statistical and machine learning methods to improve Upstart's lending marketplace.
The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.
The Data Scientist will analyze and interpret complex supply chain data, develop predictive models, and collaborate with teams to optimize supply chains and drive business growth. Responsibilities include processing large datasets, applying statistical models and machine learning algorithms, and communicating data insights to stakeholders.
The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.
As a Data Science Co-op at Jellyfish, you will develop algorithms to analyze software development practices, contribute to marketing research, learn machine learning model deployment, create analyses for customers, and explore research in computer science and applied mathematics.
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The Data Science Manager at Garner will develop care navigation algorithms and analytics while managing a team of 4-6 data scientists and analysts. This role will involve leading data science initiatives and ensuring the success of the company’s healthcare mission.
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