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Haskell Data Scientist

Job ID BUS000143 Date posted 04/24/2017 Location Sunnyvale, California – United States
At Target, we are surrounded by a wide range of interesting problems: Supply-Chain Optimization, Inventory Control, Merchandise Selection, Space Design, Demand Prediction, Price Optimization, to name just a few. Historically, the retail industry has thrown Operations Research, Econometric Modeling and Database Design techniques at these problems, with moderate success. However, at Target, we see an opportunity to boost revenues and reduce costs of the order of billions of dollars by merging these traditional techniques with modern and sometimes unusual methods - Machine Learning, Distributed Computing, Functional Programming, Compilers for Domain-Specific Languages, Graph Theory, Algorithms on Algebraic Datatypes, Stochastic Modeling, Control Theory, Differential Equations. Our problems are challenging and we have to dig deep into each of the areas above to penetrate our problems. We feel fortunate to be able to explore so much breadth as well as depth in the structure of our technical work. 
To top it all, our leadership consists of Ph.D.s in Operations Research, Machine Learning, Algebra, Algorithms and Astrophysics. Our leaders are obsessed with hard Math problems and dream in Haskell. Our team is not only technically strong but is also passionate about solving interesting practical problems in our retail business. 
If you are an experienced Haskell Programmer with a good understanding of Category Theory (can do magic with Haskell's Typeclasses) and have a flair for developing Algorithms, this will be your dream job.

Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and Los Angeles Fair Chance Ordinances.