Develop and maintain doubleml-pipeline (Python). Design, implement, test and document new features and improvements with a senior data scientist’s support. Examples include input validation (such as column-name and data-type checks), normalization options, CATE function settings and a CATE-based budget optimization module. Contribute through code reviews and versioned package releases.
Build a simulated data repository. Create and curate semi-synthetic datasets with known ground truth including confounding, latent confounders, mediators, adstock and saturation effects, time-varying parameters and regional heterogeneity. Use them to benchmark estimation accuracy (for example R², SMAPE and confidence-interval coverage).
Contribute to research and publications. Run literature reviews and simulation experiments. Draft methodology sections for papers submitted to US and EU academic and technical conferences, such as the American Causal Inference Conference (ACIC).
Create education material. Build example notebooks (Colab or Jupyter), onboarding documentation and codelab or hackathon content for Googlers and external partners.
Support case studies. Run the pipeline on aggregated, privacy-safe data across promotions, retail media, brandformance and YouTube creator use cases. Where relevant, combine the results with Meridian (MMM) and experiments such as GeoX.
Minimum qualifications
Bachelor's degree in Statistics, Economics or Econometrics, Mathematics, Computer Science, Data Science or a related quantitative field, or equivalent practical experience.
Ability to communicate in Japanese and English fluently to support client relationship management in this region.
Preferred qualifications
Master's degree or PhD in Statistics, Econometrics, Computer Science or a related quantitative field.
Experience writing academic papers.
Bachelor's degree in Statistics, Economics or Econometrics, Mathematics, Computer Science, Data Science or a related quantitative field, or equivalent practical experience.
Ability to communicate in Japanese and English fluently to support client relationship management in this region.
