Description
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This is a senior position who will be a key member of our Analytics team in the Engineering organization responsible for developing our advanced technology in predictive modeling and large-scale data analytics. Your solutions will drive the effectiveness of the MyBuys Recommendation engine, enabling it to find the most relevant product recommendations for each consumer based on that consumer�s unique profile.

Key areas of responsibility include:
- Design and develop new analytic components for MyBuys product recommendation service and learning engine
- Use your experience in machine learning, behavioral analysis, and data mining to provide practical and scalable solutions for contextual, behavioral and demographic personalization and text analysis
- Develop prototypes using industry standard tools (Weka, R, MatLab) to predict effectiveness of recommendations, and then implement scalable, reliable, automated production quality solutions on in Java on Linux/Oracle tech stack
- Design and develop methods of tracking the experiments and operational statistics that measure the performance and effectiveness of the MyBuys service
- Day to day tasks will range from data management & exploration to engine performance modeling/tuning to creative identification and estimation of preference-models and classification-schemes
- Use data mining and analytics on a variety of retailer product data and consumer profile information (browsing behavior, preferences) to maximize response rate
- Analyze and report model performance and optimization results

This position will challenge you not only to handle large data sets with ease, but also to develop sophisticated statistically-based predictive systems built around this data. You will be expected to be self-guided and to be genuinely curious about what makes things tick.

Prerequisites
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PhD or MS in Statistics, Applied Statistics, Computer Science, or Applied Mathematics.
Startup experience

Requirements
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- 10+ years industry experience providing mathematical solutions to business issues, preferably related to online product recommendations, web based personalization, behavioral ad networks, behavioral eMarketing
- Practical industry experience using multiple analytical methodologies including Bayesian methods, Neural Networks, Collaborative Filtering, and Cluster Analysis
- 4+ years experience developing high performance solutions in Java on Linux/Oracle
- Working experience with large data sets on Oracle 10g, SQL, PL/SQL
- Deep knowledge of relevant metrics for real-time systems
- Excellent understanding of data mining techniques on large sets of consumer behavioral and product data.
- Experience with Testing and Optimization desirable
- Ability to communicate technical ideas effectively, in oral and written forms, and solve complex problems in team environment.
- High commitment to excellence, collaboration and team achievement
- Experience using statistical/mathematical tools such as Weka, SAS, R, Matlab to assist in data analytics and modeling

EngineeringJobs@mybuys.com