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Operations Research Intern

About Grainger:
Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money.
We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.
Position Details:
We are looking for an operations research intern to join our team of 50+ other Analytics and Data team members who are passionate about using data and advanced quantitative methods to provide tangible, long-term monetary benefits to our organization. In Analytics and Data we harness massive amounts of data, the latest technology, advanced machine and deep learning techniques to create relevant insights and informed decisions across the company. Learning new skills, researching, and using the latest algorithms and technologies is important to maintain our success for the next 90 years.
You Will:
Our projects often encompass research, design, coding, testing, scaling, implementation, measurement, and maintenance. Specifically, our operations research team focus is optimization (e.g., linear, Mixed-integer, and multi-objective models), simulation (e.g., event-based, Markov chain), and general machine learning applications. You are someone with programming and analytical experience and are willing to research approaches to tackle new problems.
  • Use operations research and machine learning tools and techniques to develop mathematical models
  • Partner with Senior OR/ML Scientists, Product Managers, and Business Partners to develop optimization and simulation models.
  • Use advanced optimization solver (Gurobi) to solve optimization models. If needed, preforms comprehensive sensitivity analysis over the solution.
  • Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection
  • Write production-level code to convert the optimization models into working pipelines
  • Create scalable, efficient, automated processes for large-scale data analyses, model development, model validation and deployment
  • Create and deploy analytical products, automate, and integrate into systems and business processes; develop consumable endpoints (Web Applications, REST APIs)
  • Monitor deployed products for continuous improvement (hyperparameter tuning)
You Have:
  • Currently pursuing MS or PhD. in relevant subject areas (Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Statistics, Applied Analytics, or Physics)
  • Background in constraint optimization (mixed integer/linear programming); dynamic programming, multi-objective modeling, and Markov Decision Processes
  • Must have experience in optimization, simulation, and machine learning programming languages such as Python, R, Java, JavaScript, and/or C++
  • Experience in algorithm design
  • Experience with software engineering practices and leverage collaboration tools (e.g., Git, Bitbucket, GitHub)
  • Experience with databases (e.g., Teradata, Snowflake, s3) and querying languages (e.g., SQL, SparkSQL)
  • Familiarity with advanced data science toolsets (e.g., Tensorflow, Pytorch, Scikit-Learn, Airflow, Spark)
  • Familiarity with consumable endpoints development and deployment (Web Applications, REST APIs)
DEI Statement:
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.