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Browse thousands of tech jobs at Japanese startups and companies. Translated for foreign engineers.

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Jobs→株式会社Mico→TECH-Bilingual Data Scientist_TokyoDev

TECH-Bilingual Data Scientist_TokyoDevEnglish summary from Japanese

株式会社Mico

✓ Detailed
Salary
Compensation
Location
勤務地は希望に沿って東京・大阪いずれかを選択いただきます。 リモートと出社のハイブリッドで柔軟な働き方をしております。(週1出社推奨) ■大阪拠点 大阪府大阪市北区大深町6番38号 グラングリーン大阪 北館 JAM BASE 5階 JAM-OFFICE 5-A・5-B ■東京拠点 東京都港区北青山 2-14-4 the ARGYLE aoyama 6F WeWorkジアーガイル
Job Type
Full-time
Work Style
■勤務時間 9:00~18:00 ※休憩1時間含む、時間外労働あり フレックスタイム制(コアタイム10:00~16:00) ※会社規定により、一定のグレード以上の方には裁量労働制が適用されます。
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Role summaryEnglish summary from Japanese

English summary for screening — check the original posting before applying.

As a Senior Data Scientist, you will leverage advanced analytics, machine learning, and statistical modeling to solve complex business challenges. You will design, develop, and maintain machine learning models for ad delivery optimization and personalization, and lead customer behavior analysis. You will join Mico's Data & AI Team.

Must-haves

  • 6+ years of professional experience in Data Science
  • Proven experience leading the complete machine learning lifecycle
  • Strong programming skills in Python and SQL
  • Hands-on experience applying libraries such as NumPy, Scikit-learn, and PyTorch
  • Practical experience with SQL databases (e.g., MySQL, PostgreSQL), data warehouses, and OLAP platforms such as Snowflake and Amazon Redshift
  • Hands-on experience with major cloud platforms (AWS, Azure, or GCP), AWS experience preferred
  • Experience working in Linux environments and using development tools such as VS Code, Git/GitHub, Docker, and CI/CD pipelines (e.g., GitHub Actions)
  • Japanese: Business-level proficiency or higher
  • English: Business-level proficiency or higher

Nice-to-haves

About the Company

株式会社Mico

Categories
Consumer Networks, Media, and Lifestyle
Headquarters
〒530-0011 大阪府大阪市北区大深町6番38号 グラングリーン大阪 北館 JAM BASE 5階 JAM-OFFICE 5-A・5-B
Founded
2017-10
Visit Website
Posted7/30/2026
Updated2026/07/30 15:46
Sourceherp
  • Hands-on experience designing and developing recommendation systems
  • Experience with online inference (online serving), model deployment, and production-grade ML workflows
  • Experience designing and developing microservice architectures using frameworks such as FastAPI or Flask
  • Experience fine-tuning open-source deep learning models
  • Experience developing and operating high-QPS, low-latency machine learning APIs
  • Experience designing and operating scalable data pipelines using workflow orchestration tools such as Apache Airflow or AWS Step Functions
  • Hands-on experience with streaming and messaging technologies such as AWS Kinesis and Apache Kafka
  • Experience working with distributed computing and large-scale data processing frameworks such as Apache Hadoop, Apache Spark, or MPI
  • Experience working on projects related to ranking systems, search, advertising optimization, personalization
  • Contributions to open-source software (OSS), published research papers, participation in Kaggle or similar competitions

Tech stack

PythonSQLNumPyScikit-learnPyTorchMySQLPostgreSQLSnowflakeAmazon RedshiftAWSAzureGCPVS CodeGit/GitHubDockerGitHub ActionsFastAPIFlaskApache AirflowAWS Step FunctionsAWS KinesisApache KafkaApache HadoopApache SparkMPI

Work style

Hybrid work style with flexibility, with one day per week recommended for office attendance. Office locations in Tokyo and Osaka.

Other notes

Annual Salary: JPY 8,040,000 – 11,000,000. Monthly Salary includes a fixed overtime allowance for 45 hours/month. Transportation allowance provided.