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東京都のデータサイエンティストの求人224件

Associate Data Scientist, Causal Machine Learning, Decision Science Systems, gReach Program

グーグル合同会社

この会社の求人 72件

掲載中・1日前に確認

給与
記載なし
勤務地
東京都
休日
記載なし
雇用形態
記載なし

どんな仕事かAIによる生成

As an Associate Data Scientist in the gReach Program, you will work on open-source decision science systems development under a senior data scientist’s direct supervision. The role focuses on developing doubleml-pipeline and simulated datasets, contributing to research and publications, creating educational materials, and supporting case studies. The 12-month program includes a structured learning path in causal inference and pipeline development.

応募資格・募集要項・仕事内容を見る

この求人に応募

給与記載なし

募集元で応募するグーグル合同会社の採用ページへ
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応募は募集元の採用ページで受け付けています。当サイトに応募フォームはありません。

応募資格

必須

  • This role is exclusively for people who have a Japanese government-issued disability certificate.
  • 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.

歓迎

  • Master's degree or PhD in Statistics, Econometrics, Computer Science or a related quantitative field.
  • Experience writing academic papers.

募集要項最終確認 11/13

職種
データサイエンティスト
雇用形態
記載なし
給与
記載なし
勤務地
Tokyo, Japan
働き方
記載なし
学歴
大学卒業以上
掲載日
2026/11/13 22:01（1日前）
最終確認
2026/11/13 22:01（1日前）

仕事内容

この求人について

  • The gReach Program is a 12 months paid upskilling program for industry professionals with disabilities where participants will receive on-the-job-training and work on a range of projects. The goal of the gReach program is to provide participants from under-represented groups with the opportunity to grow their career as professionals.
  • As an Associate Data Scientist in the gReach Program, you'll join the decision science system (Open-source) development workstream. You'll do research and engineering under a senior data scientist’s direct supervision. Your main focus will be improving and extending doubleml-pipeline: its causal ML algorithms, a simulated-data benchmarking repository, and how it connects with AI agents. You'll also help publish the methodology at academic and technical conferences.
  • Expect to spend about 70–80% of your time on data science development and coding. The other 20–30% goes to effectiveness insights, documentation and education. Over the 12 months, you'll follow a structured learning path. It starts with causal inference fundamentals and builds up to owning a pipeline feature end to end, from design through testing and release.

仕事の内容

  • 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.

この求人は、グーグル合同会社の採用ページの内容をAIが読み取って整理したものです。応募の前に採用ページの原文を確かめてください。データの集め方企業サイト

同じ会社の求人72件

グーグル合同会社の求人をすべて見る（72件）

職種と勤務地が似ている求人東京都のデータサイエンティスト 224件

東京都のデータサイエンティストの求人をすべて見る（224件）

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