Arena Analytics uses predictive analytics and machine learning to help organizations find the best talent. By revealing each candidate’s likely performance in specific positions, departments, and locations, Arena transforms the labor market from one based on perception and unconscious bias to one based on outcomes. 


Software

Arena Analytics

Arena Analytics' headquarters in Baltimore, MD, United States

This department focuses on creating and maintaining software applications through design, coding, testing, and deployment.

Software Development

The Advisory Team at Arena Analytics leverages their expertise to guide clients through the implementation and optimization of predictive analytics and machine learning solutions. They provide strategic insights and recommendations to ensure organizations can effectively identify and utilize top talent based on data-driven outcomes, minimizing bias and enhancing overall performance.

Advisory Team

The AI Ethics Advisory Team at Arena Analytics ensures that the company's use of predictive analytics and machine learning adheres to ethical standards, focusing on fairness, transparency, and the minimization of bias in talent assessments. This team evaluates and guides the ethical implications of AI-driven decisions to promote equitable outcomes in the labor market.

AI Ethics Advisory Team

The Leadership Team at Arena Analytics drives the company's strategic vision and operational execution, focusing on leveraging predictive analytics and machine learning to reshape talent acquisition. Comprising key figures such as the Founder & Executive Chair and Chief Data Scientist, this team collaborates on innovative solutions that enhance workforce performance while fostering a culture of data-driven decision-making to eliminate bias in hiring practices.

Leadership Team

This department focuses on enhancing customer satisfaction and driving business growth through strategic engagement and support.

People (3)

Jobs (0)

Other teams

Advisory Team

AI Ethics Advisory Team

Leadership Team

Customer Experience