Data Science Supervisor

Your Job

i360, a leader in data and analytics capabilities that solve political, operational, supply chain, and market forecasting challenges for some of the most sophisticated organizations in the world, is seeking a Data Science Supervisor to join the team! i360 is a dynamic workplace sitting on the leading edge of politics, technology, and business, and is seeking team members who are as excited about creating value for society as they are about building innovative solutions for our clients.

The ideal candidate is someone who has technical experience leveraging data and technology to optimize commercial or political operations and to create new capabilities.

The Data Science Supervisor is primarily responsible for leading a team of data scientists that are developing models and related tools that create value for our customers in the logistics and operations domain.

Our Team

The Logistics and Operations Data Science team helps our political clients, external commercial clients, and partners within Koch, Inc.

achieve their goals by creating predictive and explanatory models as well as optimization systems.

We leverage proprietary data within i360 and from our clients to analyze challenges and deliver solutions with market-leading accuracy.

What You Will Do


* Lead a team of data scientists, guiding projects, providing feedback on technical and professional development.


* Develop and communicate development plans, scope and timelines with team members based upon client requirements.


* Quantify predictive model accuracy over baseline.


* Quantify the potential value of new data sets for future models.


* Analyze client questions and explain the answers to non-technical team members.


* Devise and implement automated approaches to manual processes in collaboration with the Data Operations Team and Application Development Team.


* Detect anomalies in expected modeled outputs, communicate across teams to identify root causes, and push fixes to production.

Who You Are (Basic Qualifications)


* Bachelor's Degree in Statistics, Mathematics, Economics, Econometrics, Operations Research, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.

Those with a non-technical degree but extensive technical experience is also encouraged to apply.


* Experience training and evaluating classification models and/or regression models in a professional setting.


* Experience writing SQL and Python, R, or similar scripting language for data analysis in a professional setting.


* Experience translating ambiguous challenges into technical solutions.

What Will Put You Ahead



* MS or PhD in Statistics, Mathematics, Economics, Econometrics, Operations Research, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.

Those with a non-technical advanced degree but extensive technical experience is also encouraged to apply.


* ...