Staff Data Scientist

Role Description:

As a Staff Data Scientist your role will be to:

• Use analytical, statistical and technical skills to understand large, complex datasets with the aim to eliminate waste and measure incrementality for advertisers.
• Lead, Develop & improve algorithms for automated decision making around lifetime value, causality, multi-touch attribution, and media mix optimization
• Determine, analyze, maintain, and report on core marketing metrics to identify causal relationships between marketing actions and outcomes.
• Translate data into actions and recommendations – appropriately interpreting and building on findings, and fully exploiting insights
  
  

• Min. 3 years of work experience in a commercial data science environment that requires the combined application of statistical & engineering skills
• Strong statistical and research skills with a track record of using a variety of math and statistical methods (especially Causal Inference, Prediction models, Bayesian Method)
• Excellent development skills (Python required, R or Scala a plus)
• Experience in working on big data with distributed computing (Spark, Airflow, Kubernetes)
• Familiarity with digital marketing, advertising or analytics is a plus
• Extensive experience in the Time Series domain, working with small and large time series frames
• Theoretical background knowledge like from a relevant BSc, MSc or PHD is a big advantage (e.g. in Mathematics, Computer Science, Statistics, Physics)