What We Do

Uptake is a Chicago-based predictive analytics SaaS platform provider that empowers major industry leaders to optimize performance, reduce asset failures and enhance safety. We work across industries that power the world, from planes and trains to healthcare and agriculture. Our leading platform for industrial data leverages machine learning, advanced data science and state-of-the-art security combined with the expertise of our industrial partners. The result is a powerful platform that identifies problems before they occur, saving time, money, and lives. 

What you’ll do

​The Data Scientist (Process Simulation) will help develop process simulations and optimization to uncover business value in any of the verticals that Uptake does business (i.e. rail, aviation, energy, manufacturing, etc.). This role will require working with other members of the data science team to collaborate on large-scale, data-driven process simulation models. These models will be built in a scalable, modular fashion so that they can easily be deployed for many different customers.

Responsibilities

• Collect and organize data from disparate sources
• Write scripts that can automate the process of collecting and organizing data for scalability
• Build and maintain large-scale discrete event simulation (DES) models
• Brainstorm and help to develop solutions to logic puzzles
• Look for insights that provide business value to our partners
• Provide regular updates to team members
• Be flexible to take on new assignments and roles that arise within a start-up culture

Qualifications

• Required:
• Bachelor’s degree in Engineering, Computer Science, Operations Research, or related data-centric, computational fields
• Ability to discuss your active role in 1+ practical DES related project(s) outside of a classroom setting
• Strong ability to capture real-world operations into DES logic
• Previous experience with Simio (most desirable), Flexsim, ProModel, Anylogic, Arena, SimPy or similar
• Knowledge of R (most desirable) or Python for pre- and post-processing simulation data
• Some knowledge of machine learning and predictive analytics concepts and ability to construct a basic solution strategy in R or Python
• Familiarity with process improvement and exploratory techniques (e.g. design of experiments and optimization)
• Interest in game design, solving coding puzzles and logic riddles, hacking code to quickly illustrate solutions
• Driven, self-starter
• Curious, innovative mindset
• Team player
• Preferred:
• Master’s degree or Ph.D. in related field
• Significant experience with large-scale DES projects in an industrial setting
• Previous experience with machine learning and predictive analytics algorithms
• Previous experience developing a simulation engine

Why Work Here

We build and deliver, then explore to build more. Curiosity and flexibility enable everything we do, and we get stronger as we make each new industry smarter. As a team, we bring our diverse backgrounds, beliefs and experiences to solve problems no one has yet to solve, at a speed no one has yet to experience. We support and challenge one another to bring out a new best in each of us, and we might have a little fun along the way.