Data Scientist
YouGov
Bucharest, Bucharest, Romania
5 zile în urmă

Job Description

YouGov are looking to a talented Data Scientist to join our growing team in our Bucharest office. Ideally you will come from a Statistical, Data Science or Econometrics background.

What will I be doing?

  • Conducting ad hoc statistical analysis of survey data, potentially including
  • Linear regression
  • Regression with categorical dependent variables (binomial and multinomial logistic regression)
  • Regression with multilevel or panel data (eg, fixed fixed effects, random effects, hierarchical models, time-series cross-sectional models)
  • Clustering methods (k-means, hierarchical, latent class / finite mixture)
  • Factor analysis, principle components, and correspondence analysis, and related spatial methods
  • Analysis with incomplete or missing data (multiple imputation, full-information maximum likelihood)
  • Conjoint and best-worst scaling (maxdiff) instrument design and analysis
  • Assessing the structure of data and making recommendations about appropriate techniques for analysis
  • Writing easy-to-read, replicable code for analysis (mostly in R); reviewing, editing, and collaborating on code with other analysts
  • Communicating the results of statistical analysis to internal (YouGov) and potentially external audiences, including both audiences with and without training in statistics and quantitative methods
  • Assisting YouGov researchers in ensuring that proposed questionnaires and samples are adequate to sustain desired statistical analysis
  • Managing requests for assistance from researchers, including estimating project length and complexity, triaging competing priorities, and managing queries from YouGov researchers
  • Cleaning, processing, and recoding data to allow for statistical analysis
  • Qualifications

    What do I need to bring with me?

  • University degree in statistics, econometrics, data science, or a related field (graduate-level training preferred)
  • Strong understanding of regression and spatial (supervised and unsupervised) techniques for data analysis, as outlined in responsibilities above
  • Experience in command-line based statistical software and familiarity with basic computer programming principles (strong R skills preferred)
  • Strong written and verbal English skills
  • Ability to work independently, manage time effectively, and proactively communicate
  • Experience analysing and reporting on business or social science survey data preferred
  • Experience writing clean, sharable code, working with version control systems (GitHub / GitLab), and optimizing code for speed preferred
  • Experience in commercial market research, public opinion polling or data science settings preferred
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