Analytical Innovation Leader

 
 
Requirements:
Advanced degree (MA/MS.C. or higher) in Computer Science/ Statistics/ Engineering/ Economics or any related quantitative field with focus on Data analysis, applied statistics, machine learning/ deep learning   
At least 6 years of practical experience as a researcher with significant business experience:       
Expertise in machine learning/ statistical/ data-analysis algorithms: GLM, decision trees, GBM, clustering, event detection, NLP, time series, etc.    
Experience in working with external data sources & big data    
Practical experience in addressing real world business problems around pricing, detection, personalization, telematics    
Experience in building analytical solutions in financial services or other relevant industries (e.g. retail, web marketing, etc.)      
Proficiency in R/ Python/ Java/ Scala   
Familiarity with a wide range of analytical tools/ solutions, with particular interest in Open Source solutions/tools   
Strong technical and technological background   
Leadership & managerial skills- ability to initiate and lead projects, development of people, collaboration with other departments, assertiveness    
Track record of successful innovation and its implementation      
Sufficient mathematical background for reading applied statistical/data-analysis papers   
Strong verbal & written English communication skills (including presentation skills)