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