Junior Specialist Panel Methods & Quality

1 Month ago • All levels • Quality Analysis

Job Summary

Job Description

The Junior Specialist Panel Methods & Quality role focuses on applying state-of-the-art statistical models and calibration techniques to consumer and mobility data. Responsibilities include creating and improving methods and tools for applied statistical sciences, ensuring consistent data delivery across countries through standardized methods, and transparently using scientific methods for data calibration. The role also involves supporting colleagues with data expertise, troubleshooting data quality issues with clients, and gaining deeper insights into the mobility sector by combining panel research with geostatistical analysis. The ideal candidate will have a Master's degree in statistics or a related field, strong modeling and statistical skills, fluency in German and English, and knowledge of R or Python.
Must have:
  • Master's degree in statistics or related field
  • Strong modeling and statistical skills
  • Fluent in German and English
  • Knowledge in R or Python
Good to have:
  • Familiarity with geostatistical analysis
  • Experience with Shiny apps
  • Familiarity with panel data structure
Perks:
  • Initial and ongoing trainings
  • Exciting work environment
  • Opportunities for personal and professional growth

Job Details

The overarching theme in the Panel Methods & Quality team and especially for this position is ensuring that state-of-the-art statistical models and calibration techniques are applied to our consumer and mobility data. Only then we can deliver valid and useful information to our clients.

Specifically, you will work with tracking data to gain a better understand of mobility behavior in Germany, including individual vs. public transport affinity.

You will:

  • Create and improve methods and tools, contributing to best practices in the area of applied statistical sciences/ marketing sciences.

  • Deliver consistent data in all countries (standardized methods and processes), align different data sources.

  • Transparent use of scientific methods & valid external sources for data calibration.

  • Supporting research focused colleagues with data expertise.

  • Troubleshooting & discussions with client service and clients about data quality issues.

  • Gain deeper insights into the mobility sector— mastering the combination of panel research and geostatistical analysis.

You have:

  • Master degree in statistics or related, reflecting strong modeling and other statistical skills.

  • Fluent in German and English.

  • Knowledge in R or Python.

  • Familiarity with geostatistical analysis, Shiny apps and panel data structure would be an advantage.

We offer a hybrid working model for our colleagues (normally x2 days p/w in office) and competitive core benefits including: 

  • Initial and ongoing trainings to support your development.

  • Exciting work environment that brings people together.

  • Opportunities for personal and professional growth.

And much more...! 

All documents will be treated in the strictest confidentiality. 
Only short-listed candidates will be invited for an interview. 

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