Develop recommendation engine of offers to consumers based on historical purchase data;
Optimization of real time sorting and offer displays to consumers;
Computational analysis of hypothesis testing and construction of new tests across all of Flocktory products;
Creation of ad-hoc reports and analysis to support Flocktory publications/conferences and communications to enterprise level clients.
Academic background in Mathematics, Statistics or Computer Science;
Knowledge and experience with data mining and machine learning, academic or professional experience in
development of recommendation algorithms;
Expert level in SQL, experience with writing code in R, Closure or Python/Pandas.
email@example.com или 8-915-428-60-78 (Татьяна)
Опубликовано 14 Ноября 2014 —