Data ScientistEnglish summary from Japanese

株式会社ビットエー

✓ Detailed

Salary

【想定年収】 600万円～1000万円

Location

〒141-0031 東京都品川区西五反田1丁目1番8号 NMF五反田駅前ビル7階 JR五反田駅西口から徒歩1分都営浅草線五反田駅 A1出口から徒歩0分東急池上線五反田駅出口から徒歩5分・本社/在宅/客先のいずれか ※変更範囲：会社の定める場所（テレワークを行う場所を含む）・執務スペースでの喫煙禁止

Job Type

Full-time

Work Style

【標準労働時間】 10時00分〜 19時00分（配属先により変動あり）

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Role summaryEnglish summary from Japanese

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

We are seeking a Data Scientist to drive data utilization and AI technology implementation for business problem-solving and value creation. This role involves a wide range of responsibilities, from traditional data analysis to AI engineering, including API development and cloud system construction.

Must-haves

2+ years of professional Python experience, including web/API development
Experience implementing machine learning models and deep understanding of evaluation metrics (accuracy, AUC, RMSE, etc.)
Professional experience with SQL for data extraction and manipulation
Experience using and operating cloud environments like GCP, AWS, or Azure

Nice-to-haves

Experience implementing and operating Deep Learning (PyTorch, TensorFlow, etc.)
Experience developing large language model systems (including RAG)
Experience building and operating large-scale data ETL pipelines
Knowledge and practical experience with MLOps (MLflow, Docker, CI/CD, pipelining, etc.)
Experience managing cloud resources using IaC (Infrastructure as Code)

About the Company

株式会社ビットエー

Headquarters

東京都品川区西五反田1丁目1番8号 NMF五反田駅前ビル7階

Founded

2011-07

Visit Website

Posted8/5/2026

Updated2026/08/05 16:12

Sourceherp

Role summaryEnglish summary from Japanese

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

Must-haves

2+ years of professional Python experience, including web/API development
Experience implementing machine learning models and deep understanding of evaluation metrics (accuracy, AUC, RMSE, etc.)
Professional experience with SQL for data extraction and manipulation
Experience using and operating cloud environments like GCP, AWS, or Azure

Nice-to-haves

Experience implementing and operating Deep Learning (PyTorch, TensorFlow, etc.)
Experience developing large language model systems (including RAG)
Experience building and operating large-scale data ETL pipelines
Knowledge and practical experience with MLOps (MLflow, Docker, CI/CD, pipelining, etc.)
Experience managing cloud resources using IaC (Infrastructure as Code)

Data ScientistEnglish summary from Japanese

Role summaryEnglish summary from Japanese

Must-haves

Nice-to-haves

About the Company

Data ScientistEnglish summary from Japanese

Role summaryEnglish summary from Japanese

Must-haves

Nice-to-haves

About the Company

Tech stack

Work style

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