Statistics Engineer

Efficient Frontier ( www.efrontier.com ), a leading SEM solution provider, is looking for a statistics engineer to maintain and enhance models and algorithms in Sunnyvale, CA, office.

Responsibilities

• Enhancement of currently defined models and heuristic applications
• Development of customized models
• Programming predictive modeling algorithms
• Assessing the statistical significance of performance differences between models; e.g. hypothesis testing to compare a model with new features to an already deployed model.

Requirements

• Master's degree (Ph.D. preferred) in quantitative discipline: statistics, econometrics, applied math, computer science, machine learning
• Comprehensive understanding of some of the following quantitative methods: multivariate regression, classification, cluster analysis, simultaneous equation models, decision trees, hypothesis testing, neural nets, SVM, time series, outlier identification, simulated annealing, genetic algorithms, Monte Carlo simulations etc.
• Proficiency in R/ SAS/ SPSS and SQL
• Experience with large data sets
• Exposure to operations research/ linear and non-linear optimization concepts is a plus

Efficient Frontier is an equal opportunity employer.

_Contact_:
Please e-mail your resume to: jobs@efrontier.com .