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Statistician, Predictive Analytics
Position Summary: Statistician, Predictive Analytics is responsible for analyses, that support the Analytic Insights including the maintenance of existing statistical models, and developing new forecast, and other statistical based models. Statistician is expected to perform these duties with limited daily oversight.

Position responsibilities:

Developing advanced statistical models utilizing typical and atypical methodologies. Developing and updating data models for statistical modeling purposes, tracking results against forecasts, and fine-tuning when required. Participate in the selection, training, development, appraisal and work assignments of personnel.

Tracks, analyzes and interprets trends in data in order to provide relevant conclusions and recommendations to management. Occasional overnight travel (up to 20%) by land and/or air. Performs other related duties as assigned.

Essential skills, knowledge and abilities:

Must have at least four years experience performing advanced quantitative analyses. Ability to manipulate, analyze, and interpret terabytes of data. Ability to organize findings and translate into actionable insights using original or innovative techniques or style.

Ability to apply advanced statistical methodologies such as mixed model, (random and fixed effects), simultaneous equations, ARIMA, neural networks, and multinomial discrete choice. Ability to apply mathematical operations to such tasks as cluster analytics, sampling theory and design of experiments, analysis of variance, correlation techniques, and factor analysis.

Master's degree (M. A.) in Quantitative discipline (e.g. Math, Statistics, Economics, Bio-Statistics); or four to ten years related experience and/or training; or equivalent combination of education and experience.

Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet, graphics, etc.).

Intermediate to advanced experience in Statistical Software (e.g. SAS, SPSS) and database applications.

Working knowledge of SAS required. Must have relational database experience. Intermediate to advanced experience in Excel.

Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to write speeches and articles for publication that conforms to prescribed style and format. Ability to effectively present information to top management, public groups, and/or boards of directors.

Ability to comprehend and apply principles of advanced calculus, modern algebra, and advanced statistical theory. Ability to work with concepts such as limits, rings, quadratic and differential equations, and proofs of theorems.

Ability to define problems, collects data, establishes facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, musical notes, etc.,) in its most difficult phases. Ability to deal with a variety of abstract and concrete variables.

Non-essential skills, knowledge and abilities:
Prior experience modeling automotive data preferred.

If interested in this position, please submit your resume to: , and we will ask our friends to help refer for good fit.

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