TECH-Bilingual Data ScientistEnglish summary from Japanese

株式会社Mico

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Salary

給与 8,040,000 - 11,000,000 円　※前職考慮の上、経験・スキルに応じて決定します。

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. This role requires expertise in translating data insights into practical strategies and strong communication skills for cross-functional collaboration. Experience in analytics, the IT/tech industry, and cutting-edge technologies is highly valued.

Must-haves

6+ years of practical experience in data science
Lead ML lifecycle (data exploration, feature engineering, KPI definition, model training/validation, system implementation, performance evaluation, deployment, and maintenance)
Proficiency in Python and SQL with high code quality, readability, and maintainability
Expertise in machine learning (prediction, classification, regression, clustering) and statistical knowledge for tabular and time-series data
Practical experience with SQL databases (MySQL, PostgreSQL), data warehouses, and OLAP (Snowflake, Redshift)
Skills in hypothesis testing, offline evaluation (cross-validation), A/B testing, and basic statistical analysis
Hands-on experience with major cloud platforms (AWS, Azure, GCP), primarily AWS
Proficiency in Linux, VS Code, Git/GitHub, Docker, and CI/CD (GitHub Actions)

About the Company

株式会社Mico

Nice-to-haves

Deep expertise in building recommendation systems (collaborative filtering, content-based filtering, Matrix Factorization, NCF, Two-Tower models)
Experience with advanced ML engineering (online serving, model deployment, MLOps, microservices, fine-tuning deep learning models, high QPS/low latency APIs)
Experience with data engineering and orchestration tools (Airflow, AWS Step Functions, Kinesis, Kafka, Hadoop, Spark, MPI)
Domain expertise in ranking, search, ad delivery, or personalization systems
Ability to propose data analysis and improvement measures based on deep understanding of business goals
Contributions to OSS projects, research paper publications, or Kaggle competition achievements

TECH-Bilingual Data ScientistEnglish summary from Japanese

Role summaryEnglish summary from Japanese

Must-haves

About the Company

Nice-to-haves

Tech stack

Work style

Other notes