CAREERS

We are currently seeking a Marketing Science Statistician/Methodologist Consultant or Independent Contractor for a potential upcoming Product Instruction Comprehension study. 

Selected Consultant or Contractor would be asked to consult on development of a statistical analysis plan and data processing support. Specific for this project, we would require: ​

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• Writing and consultation on the Statistical Analysis Plan

• Creation of Excel based tables that internal team could copy/paste into Word based report ready tables

• Timeframe: early October through mid-December

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Additional details can be provided upon further discussion. Please submit your resume or contact us if interested. 

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We are always looking for great statisticians to support our new, existing and potential studies.

If you are passionate about multiple statistical and econometric programming languages such as R, SAS, SPSS, or NLOGIT/LIMDEP- send us your resume. Overall responsibilities and requirements include: 

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Responsibilities: 

• Consult with internal team members and/or clients by recommending statistical designs and methods most appropriate to answer research questions

• Create designs for statistical models, such as best-worst scaling (max-diff) and conjoint/discrete choice

• Conduct advanced statistical modeling and econometric analyses

• Interpret analytical results and draw conclusions about findings

• Assist in the creation of client deliverables, including PowerPoint reports and Excel-based spreadsheet simulators

• Identify new opportunities for value-added analytics

• Be up to date on the most recent analytical, statistical and marketing science innovations and trends
   

Requirements:

• 1-3 years of relevant experience with advanced analytics

• Master’s Degree or PhD in Econometrics, Marketing, Operations Research, Statistics, Psychometrics or other quantitative analysis fields

• Technical knowledge/skills include: multivariate analysis, regression analysis, forecasting, and sampling

• Knowledge of or aptitude to learn conjoint/discrete choice analysis, latent class and other segmentation methods.

• Knowledge of hierarchical Bayesian linear and discrete choice modeling is a big plus

• Intermediate expertise in programming SPSS, R, and/or SAS required. Proficiency in, Nlogit/LIMDEP is a plus

• Intermediate expertise in Excel VB or other transferable programming skill are required. Intermediate expertise with data visualization tools (Excel, PowerPoint, Tableau, etc.) is a plus

• Position is remote or hybrid (if local to New York metro area)

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Interested? Submit your resume below or contact us today.