Bayesian networks, Conjoint analysis, Data Classification, Data discretization, Discrete Choice Modeling, Factor analysis, Gabor Granger, Gradient Boosting trees, Hierarchical Clustering, Machine learning techniques, MaxDiff, Multinomial Logit, Python Programming, R Programming, Regression Analysis, SAS, Sawtooth Software, SPSS Statistics, Statistical modeling, Text segmentation, Time series, Van Westendorp
Our Advanced Analytics and Data Science (AA&DS) at MetrixLab - Connecticut, Farmington seeks a data science candidate with a graduate degree in Statistics, Market Research, or Social Science. The candidate will have five or more years of experience in marketing science, data science, or related field.
Responsibilities:
The candidate will have excellent writing and communication skills, and client management experience. The main responsibilities are:
*Even if you do not meet all the qualifications, please apply, we want to hear from you!
Note: While efforts have been made to ensure the accuracy of this position description, it is not warranted to be an exhaustive recitation of all position duties; the incumbent may be required to perform duties beyond those listed above.
Required skillset will include (but not limited to):
Listed below nice to have but not required skills:
MetrixLab is a fast-growing global market research and insights company that's challenging the status quo of insights. By blending evolving technology with passionate experts, MetrixLab helps global and local brands to drive more impact, and forges partnerships to drive sustainably equitable growth. From creative testing to brand tracking, and packaging to e-commerce optimization, MetrixLab’s range of solution suites adapts to fit all types of bu