Uptake is the actionable insights platform that makes the world more productive, safe, secure and reliable. We create products and solutions to achieve measurable results and outcomes to enable insight and predictive analytics across key industries by leveraging a common platform.

Data Scientist, Process Simulation at Uptake
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 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 process simulations
  • 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, Business Analytics, or related data-centric, computational fields
    • 2-4 years of relevant work experience, preferably in process improvement using simulation
    • Strong ability to capture real-world operations into discrete event simulation (DES) logic
    • Previous experience with Simio (most desirable), Flexsim, ProModel, Anylogic, Arena, or similar
    • Familiarity with process improvement and exploratory techniques (e.g., design of experiments (DoE) and optimization)
    • Knowledge of R or Python for pre- and post-processing simulation data
    • 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
    • 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.



Company Reviews

What binds us is a passion for tackling hard problems and having a lot of fun along the way.
Nick Singh
UX Researcher
at Uptake
We have access to resources the moment we need them, and we can tap into an amazing talent pool at a moment’s notice.
Brad Nicholas
Lead Innovation Architect
at Uptake
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Perks & Benefits
Health/dental/vision coverage
401(k) match
Open PTO policy
Parental leave
Commuter benefits
Speaker series
Lunch stipend
Happy hours

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