Join the Competition

Why is optimization such a difficult problem to solve and why is it a crucial skill for data scientists and decision makers? We put together an extensive game that helps explain just that. And to make it more fun, we have a competition just for Super Data Science listeners.

  1. Visit We recommend using a laptop/desktop to play.
  2. Log into your Gurobi account, or register for a free account.
  3. Click on Championship Mode.
  4. Enter match code: superdatascience
  5. Enter a display name / alias and start feeding hungry customers!
  6. Make sure to save your scores!

For more info on the game and how to play, click here.

To view the leaderboard, start a round with the match code and click where you see CHAMPIONSHIP below the mini-map on the left.


Free Learning Resources

We’ve built an extensive library of resources to help data scientists learn mathematical optimization and many of these resources are in one place! We’re always adding more content and resources made for data scientists so fill out the form to stay in the loop.


Using Databricks for Optimal Decision Making

Databricks is one of the premier tools for creating and deploying machine learning models. We recently hosted a webinar, “Add Decision Making to Your Databricks Toolkit with Mathematical Optimization” to explain more about mathematical optimization and how it can seamlessly add decision making into your Databricks workflow.

Check out the recording here!

Try Gurobi for Free

Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.

Evaluation License
Get a free, full-featured license of the Gurobi Optimizer to experience the performance, support, benchmarking and tuning services we provide as part of our product offering.
Academic License
Gurobi supports the teaching and use of optimization within academic institutions. We offer free, full-featured copies of Gurobi for use in class, and for research.
Cloud Trial

Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.