Manager, Predictive Analytics and Optimization

We're looking for a Data Scientist Superstar to revolutionize the online retail experience! If you are passionate about online shopping and excited to leverage state-of-the-art methods to turn big data into business value - if you can manage people and projects and see an idea through from conception to delivery - if you want to make a difference, then you just might be just the "Zillan" we are looking for.

Responsibilities:

• Translating business problems into analytic frameworks and using advanced methods (machine learning, data mining, statistical modeling) to create business value.
• Managing analytics projects throughout entire development lifecycle: concept, design, production, testing and release of projects.
• Conceiving, communicating and owning the overall timeline for analytics projects.
• Driving innovation, both as a principal data analyst and manager of team(s) of analysts.
• Delivering solutions to all verticals across the enterprise.

• MS or PhD in Applied Mathematics, Statistics, Computer Science, Operations Research/Management Science, Economics, or equivalent.
• 5-7 years of industrial experience in data science, working directly with data, building models, and measuring results.
• 2+ years of project management experience, including offshore management.
• Domain expertise in search, online retail, SEM, SEO, click fraud detection, or equivalent.
• Proficiency in SQL.
• Experience with Big Data. Distributed computing (e.g. map/reduce) is a plus, especially Hadoop, Mahout, Pig.
• Proficiency in Perl or equivalent tools for shell-level ETL and hackery.
• Proficiency in at least 2 of: SAS, R, Matlab, Python (SciPy, NumPy).
• Familiarity with some of: Weka, RapidMiner, Knime, Orange.
• Experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering.
• Experience in some of these applications: Collaborative Filtering, Personalization, Consumer Segmentation, Text Analytics, Information Retrieval, Search Relevance.
• Leadership, passion, and curiosity.
• Strong communication skills (verbal and written).
• Comfort in a competitive, high-performance, target-driven environment.

Shopzilla is an equal opportunity employer.

_Contact_:
PLEASE SUBMIT A WORD DOCUMENT COPY OF YOUR RESUME TO:
jobs@shopzilla.com