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Senior Data Scientist

Timisoara, Romania

The Consumer Connection department is looking for a senior Data Scientist to join our team.

We are looking for a data scientist that will help us make sense of the information hidden in vast amounts of consumer connection data to make smarter decisions and deliver even better people to our projects.

You will focus on applying data modeling techniques, doing statistical analysis, and building high quality prediction systems to identify high- and low-quality responses and participants. Your responsibilities will be to create scalable analytical solutions to the typical challenges faced within consumer connection around participant quality, retention and ROI.

YOUR RESPONSIBILITIES

Analysis of square data 

  • Analyzing Square data per project and across projects to identify trends and support decision making
  • Maintaining a normative database of square data for analysis
  • Creating automated solutions for easy updating and analysis to support teams running squares
  • Analyzing different components of square health:  retention retention curves, contribution analysis, quality and fraud checking, monitoring quality of recruitment sources per project and across projects.
  • Consulting internally within Consumer Connection and with CST/PST on findings from analyses
Survey Data Quality algo development 
  • Creating algorithms for easily identifying fraudulent data within surveys
  • Consulting internally within Consumer Connection and with CST/PST on findings from analyses
  • Training PST data analysts on using the analysis solutions on their projects
Predictive Analytics 
  • Create predictive models to identify high- and low-quality responses across methods for both quant and qual
  • Apply model to new projects and monitor results
  • Training PST data analysts on using the analysis solutions on their project
YOUR PROFILE

Experience:
  • 5+ years’ experience in an analytical role
  • Advanced degree in Maths, Stats or similar
  • Solid understanding of analytical techniques and processes both basic and advanced including Large dataset wrangling, cleaning and transformation
  • Data checking and reproducible analysis
  • Basic stats techniques
  • Advanced techniques including regression, decision trees, machine learning, clustering techniques like k-means and latent class, factoring, neural nets etc.
  • Creating data architectures
  • Statistical UI program knowledge such as SPSS, Q, Stata or similar
  • Statistical programming language knowledge such as R, Python, Julia or similar
  • Advanced Excel skills
  • Ability to think automation and scalability instead of once-off use cases
  • Can do” are two of your favorite words
  • Creative problem solver
  • You facilitate sharing of technical information and ideas in an accessible way to non-technical roles
  • You can develop an approach for a project. From defining goals to deliverables.
  • You can write down process changes and procedures.
  • You can take end responsibility or your decisions and project deliverables.
  • You perform quality reviews of projects to ensure deliverables meet project requirements
  • For your projects, you can identify and define changes in scope or objectives and can act upon them accordingly





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