Top Data & Analytics Jobs in Richmond, VA
As a Staff Analyst in Growth Analytics, you will drive insights and data infrastructure for borrower acquisition and retention. This involves collaborating with various teams to set growth strategies, using analytics tools to assess user behavior, conducting quantitative analyses, and mentoring team analysts.
The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.
The Sr. Business Systems Analyst will partner with Procure-to-Pay stakeholders to define business process requirements, lead finance application solution design, and refine IT processes. The role involves working on KPIs, supporting finance systems strategy, and delivering training on finance tools.
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The Credit Analytics Manager will develop and optimize the cash advance product, implement risk models, collaborate with finance on credit policies, and work with product teams to launch features. This role requires a passion for leveraging data to fuel growth and improve customer well-being, while leading various credit and product testing initiatives.
As a Business Systems Analyst Consultant, you will provide solutions for IT and business management, analyze client requirements, enhance system productivity, and offer process improvement consulting. The role demands expertise in evaluating and configuring cost-effective systems that meet business needs.
As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.
The Compensation Analyst will join the Total Rewards team to develop and manage compensation programs, analyze market data, maintain compensation databases, and collaborate with recruiters and People Operations. The role requires strong analytical skills to create compensation insights and support compensation cycles.
As a Principal Full Stack Engineer, you'll lead the design and integration of ad analytics and ad fraud products, manage the software development lifecycle, mentor junior engineers, and ensure best practices in a collaborative environment. You'll work with product teams to gather requirements, build scalable systems, and automate cloud infrastructure.
As a Staff Applied Scientist at Samsara, you will lead the design and implementation of AI product initiatives while working with petabyte-scale data. Your role involves developing both tactical and strategic AI solutions, collaborating across business units, and staying updated with industry research.
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As a Senior Machine Learning Engineer at Wasabi, you will develop and refine computer vision algorithms and NLP models while leading AI advancements in a team-oriented environment. Responsibilities include collaborating across teams, optimizing machine learning models, and ensuring reliable implementation and maintenance of AI systems.
Top Companies in Richmond, VA Hiring Data + Analytics Roles
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