We’re seeking an experienced Data Scientist to uncover and model the hidden factors and coefficients that influence negotiation outcomes in our world-first simulation game. You’ll be extracting deep insights from our corpus of client sim games data gathered from our classes.
This can be a part-time or full-time role. You’re welcome to choose your working hours, and we don’t mind where you’re located.
It’s important that you can communicate well in English with our CEO and our consulting Data Scientist, who is building our computer player. This is a remote position with flexible hours. We are the innovation leader in B2B negotiation training. Over the past 25 years, we have earned high praise from their global 500 corporate clients. The Negotiation Experts have created a transformational product, the world’s most advanced scored negotiation simulation game platform.
The ideal candidate should:
• Fluent in Python and the broader scientific data stack — including pandas, NumPy/SciPy, scikit-learn, Jupyter, and SQL for analytical workflows.
• Have a solid foundation in statistics, data science fundamentals, and data wrangling and visualization techniques.
• Have a bachelor’s degree in Computer Science, Applied Mathematics, Data Science, or another STEM discipline is preferred, along with either a master’s degree in a related field.
• Have at least one year of experience in a research or experimental environment.
• Enjoy exploring data to extract hidden patterns, testing hypotheses, and translating complex findings into clear, actionable insights.
Please let us know about:
1. Relevant projects that you have completed.
2. How many hours per week are you available to work.
3. When will you be available to start.
About us:
We’ve delivered customized negotiation training to global corporate clients for 25 years, with graduates from more than 100 countries. Join our learning & development team and work alongside world-class Negotiation Experts and our CEO.
How we use the sim game:
The negotiation sim game allows negotiators to meet in a virtual environment using Zoom or Teams. Human negotiators speak their offers and, at the same time, send them on the sim game platform. You’ll get the data in JSON flat files. We have hundreds of completed human games from each of the eight sim games you’ll be working with. We have already identified the main factors.