We apply

data to make communities stronger.
technology to uncover new opportunities.
expertise from across Two Sigma.

What We Do

We believe rigorous data analysis and innovative engineering can help every organization.

We bring Two Sigma’s people, data science skills, and technological know-how to help our partners to use data and tech more effectively.

We share our scientific process and source the right talent from within Two Sigma to address your unique challenges.

We can help optimize and automate daily operations, translate data into insights, or demonstrate potential for even greater change in the service of your community.

Our Approach

Data science and technology support with a human touch.

Engagement and Team

We bring our teams together to assess the viability of a data science or technology collaboration. Next, we assemble a volunteer team of Two Sigma data scientists, engineers, and project managers with the right skill sets and capabilities for your project.

Research and Development

Once we’re aligned on scope, deliverables, format, and timing the project can get underway. Our engagement team works closely with you on a part-time basis over the course of the project to manage everything from discovery to delivery.

Results and Impact

While deliverables vary based on each engagement, one of our core goals is to help our partners independently use data and technology more effectively and efficiently in their organizations.

Tools

Changing outcomes means changing how we look at problems.

Introducing NewerHoods, an open source, flexible and dynamic clustering tool, built with R. 

Developed by Data Clinic, NewerHoods helps individuals and organizations better advocate for their community by tailoring public data to their specific needs.

Team

Meet your dedicated core team.

We’re backed by volunteers drawn from Two Sigma’s research and development teams, which have over 4,500 person-years of experience.

Show Our Team

Advisory Board

Contact Us

Do you have a tough problem that could be a candidate for a data science or engineering solution?  

We’d love to hear from you.