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StatisticianJobs by: Quant RecruitingPosted date: 06-Mar-2010
Location: New York
Key accountabilities:
Progressive experience in predictive analytics and data mining (5 years) in at least one of the following areas:
· Linear Models
· Nonlinear Models
· LTV
· Decision Trees
· Conjoint Analysis
· Neural Networks
· Survival Analysis
Essential Responsibilities
· Application of statistical modeling techniques to various business needs (marketing, products, service, financial)
· Responsible for developing, updating and maintaining predictive models to enable the organization to meet its business objectives.
· Develop performance benchmarks to be used by the business
· Assessing model quality
· Conduct analysis of available data sources to identify attributes valuable for modeling purposes
· Define and implement processes to overcome data availability limitations and quality issues
· Prove the quality of selected algorithms by building production-grade models against multiple data sets
· Develop methods to automate the entire modeling process, including model training, deployment, ongoing monitoring and adaptive learning
· Guide development team in the productionalization of algorithms
· Ad hoc analyses
· Identifying opportunities to apply statistics to improve business performance
· Ability to partner or collaborate with individuals and teams.
· Present results of quantitative analysis and modeling to a variety of non-technical audiences
· Support business development by working directly with the sales teams articulating and advocating the selected modeling methods to customers and prospects
Education:
· A Master's Degree in a quantitative discipline such as Economics, Operations Research, Statistics, Industrial Engineering, or a related field of study. PhD in Statistics is preferred.
Working Knowledge in at least one area:
· SAS Forecast Server
· SAS programming language
· SAS Enterprise Miner
· SAS Enterprise Guide
· JMP® statistical software
· Experience with relational databases
· SQL
· Microsoft Office
Demonstration of experience required through sample work submissions
Please submit resumes only to resumes
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