GrubHub Holdings Inc. is the nation's leading online and mobile food-ordering company dedicated to connecting hungry diners with local takeout restaurants. The GrubHub Holding Inc. portfolio of brands includes GrubHub, Seamless, MenuPages and Allmenus. The company's online and mobile ordering platforms allow diners to order directly from thousands of takeout restaurants across the country and London, and every order is supported by the company's 24/7 customer service. GrubHub Holdings Inc. has offices in Chicago, New York City and London.

With a career at GrubHub Holdings Inc., you can order your cake and eat it, too!

RESPONSIBILITIES:

• Research, develop, and implement predictive algorithms for our real time experimentation system.

• Grow our real-time internal data intelligence API

• Conceive of and develop tools to minimize risk of experimentation

• Mine experiment data for issues and unidentified wins, then automate and develop tooling around that.

• Develop one off experiments for large company initiatives and design the statistical analysis of the results.

REQUIREMENTS:

• Bayesian statistics/probability- Experience with building simple probabilistic models, simulations, and other computational techniques to run statistical analyses for several mission-critical projects. Should also be able to package them into conceptual features available through our data intelligence services and internal code.

• Programming - Our team pushes very hard to scale through automation. Your direct reports will be the bots and services you create to do your job. You’ll also be helping to build out an API for machine learning projects we work on.

• Experiment design - You should have a deep understanding of experiment design: Control vs variations, factorial experiment design, multivariate experiments, simple random sampling vs stratified, etc.

• SQL experience - Experience in transactional and data warehouse environments using MySQL, Amazon Redshift, or other database systems. Must deeply understand joins, subqueries, window functions, etc.

• Humility - Admit when you’re wrong and make a mistake, then let’s laugh about it. You might even make our achievements board!

• Strong cross-functional communication skills - The algorithms we develop are central to how the business runs. So it's critical for you to understand the drivers of our business very deeply, and to be able to explain your approach to a wide variety of both technical and non-technical stakeholders and take input from them where appropriate.

• Autonomy - You will have an enormous amount of latitude to research and develop new techniques and algorithms to increase effectiveness of our experimentation systems and reduce risk. You should be able to use it wisely.

• 5-7 years of experience using the above skills

• Master’s in quantitative discipline or equivalent experience

BONUS POINTS FOR ANY/SOME:

• Risk analysis modeling and projections

• Experience with PyMC, BUGS, STAN, etc.

• Python

• Experience designing/building a custom A/B/n experimentation platform

• Professional software engineering background.

• Informal understanding of data structures and computational complexity.

• Understanding of Frequentist/Classic statistics

• You know how to sell an idea to a large group of people. Internal PR is important.

• Predictive Analytics- Clustering, regression, neural networks, etc.

• Blog/portfolio/Github links