Operations Research (OR) Engineer

Cerebri AI, Austin, TX

Turn data into revenue

Cerebri AI develops and sells the most sophisticated AI-enabled customer experience (CX) platform. Cerebri Values CX v2 (CVX) is a leap forward in applying artificial intelligence to measure customer engagement and drive financial results for large enterprises at scale. It uses reinforcement learning to gain deeper insights from customer journeys, measure customer commitment across brands and predict Next Best Action{set}s to create personalized experiences throughout the customer life cycle that drive engagement and results.

We work with companies selling to over 200 million consumers and have 16 patents filed pertaining to the Cerebri AI way. Our Series A financing was led by M12 (formerly Microsoft Ventures). We now have 60 employees in three offices in Austin, Toronto and Washington DC. Over 80% of the staff are in technical roles in data science and software engineering. Our team of senior executives averages 20+ years selling and deploying software successfully to enterprises worldwide. Cerebri AI is a proud Microsoft Partner and an active member of the Mastercard Start Path network.
To learn more, visit cerebriai.com.
"Cerebri AI was recognized as 2019 Cool Vendor for Customer Journey Analytics by Gartner"

Role: Analyze, design, develop, test, and build data-driven products that help customers leverage machine learning with workflows and policies to improve KPIs    


  • Create mathematical models of problems to show conflicting objectives, alternatives, restrictions.
  • Design and develop statistical, mathematical, econometric and various other scientific techniques for system assessment.
  • Conduct data preprocessing, transformation, and perform statistical analysis.
  • Observe customer’s operational systems and gather data about issues so the workflow and policies can be modelled and characterized.
  • Develop business procedures such based on operation research and/or game theory.
  • Understanding and worked with enterprise software system.
  • Documenting software projects and maintaining project documentation.
  • Working in a team environment as well as working alone.


  • Experience with data science, artificial intelligence, applied statistics, integer/linear/dynamic programming, mathematical optimization, stochastic systems.
  • Experience with semantic systems.
  • Python or Scala or R or MATLAB programming skills with two (2) years or more experience.
  • Good verbal and written communication skills.
  • Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Ph.D./MSc in operations research, applied statistics, data mining, machine learning, or a related quantitative discipline. 

Tools we use...

  • Confluence
  • JIRA
  • Python (some R some MATLAB)
  • Bitbucket
  • Jupyter Notebook
  • Scala
  • Postgres

About Cerebri AI

Cerebri AI provides AI and machine learning solutions to help enterprises grow top line revenues by giving them a 1:1 relationship with their customers. We do this by processing internal and external customer data, and by determining the dollar value a customer places on the “value” of a vendor, products, assets, etc. We also monetize a critical variable in any revenue situation, the customer’s ability to pay, so things such as up-selling opportunities can be clearly scoped and delivered. We call the results Customer Value Indexes (CVIs) for brands, vendors, assets and financing.

Cerebri AI

Want to learn more about Cerebri AI? Visit Cerebri AI's website.