USA | Data Science Senior Consultant

USA | Data Science Senior Consultant

USA | Data Science Senior Consultant

About Us:

Our Advanced Analytics and Data Science (AA&DS) at MetrixLab 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:

  • Prepare and impute missing data using SAS, SPSS, R, or Python.
  • Collaborate with other members of the Data Science team in a fast paced and competitive, but collegial environment.
  • Recommend survey designs for proposals and provide material for RFPs.
  • Consult on questionnaire development for custom market research projects.
  • Support MetrixLab’s solutions that are based in data science and apply them to practical research issues.
  • Multitasking on concurrent projects via efficient time management.
  • Disseminate research findings to clients in a clear non-technical style.
  • Provide training on custom Excel-based simulators.

*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):

  • Data exploration including correlations and statistical significance testing.
  • Key driver analysis using Regression-based models.
  • Machine learning, e.g., ensemble methods and Gradient Boosting Machines.
  • Segmentation, factor analysis, and classification methods (e.g., Discriminant Analysis, Multinomial Logit, and Support Vector Machines).
  • Experience with Sawtooth Software, including HB/CBC, SSI Web, and MaxDiff Designer.
  • Conjoint analysis, Discrete Choice Modeling, Maximum Difference Scaling, and experimental designs.
  • Pricing models including Gabor Granger and Van Westendorp.
  • Perceptual mapping, including correspondence mapping and multidimensional scaling.
  • Proficiency in SPSS and/or SAS.
  • Fluency in R or Python.
  • Listed below nice to have but not required skills:
    • Bayesian Networks.
    • Bayesian statistics, e.g., Hierarchical Bayes Modeling.
    • Timeseries modeling and ad effectiveness measurement.

About the application process:

Please send in your applications to: [email protected] including your CV, motivation and salary expectations.

Contact details:

Contact: [email protected] | www.metrixlab.com

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