English summary for screening — check the original posting before applying.
As a Data Scientist at primeNumber, you will drive business outcomes by leveraging data and AI. You will be responsible for the entire process from problem definition to implementation and results generation, collaborating with consultants and engineers. Your insights will also contribute to the development of new AI solutions and products.
Must-haves
- Practical experience in machine learning and statistical modeling (Python: pandas, scikit-learn, PyTorch or TensorFlow)
- Experience completing the entire process from problem definition to model implementation and production deployment
- Client work experience, including explaining concepts and gaining agreement from non-engineers
Nice-to-haves
- Experience developing and operating LLM-based applications (RAG, Agents, Fine-tuning)
- Experience handling multiple data formats (tables, natural language, time series)
- Experience building and operating DWH (BigQuery, Snowflake) and data pipelines
- Experience with experiment management tools (MLflow) and model deployment/monitoring
- Experience implementing analytical/ML knowledge into reusable mechanisms or product features
- Experience in 0 to 1 phase development (new business, product development)
Tech stack
Pythonpandasscikit-learnPyTorchTensorFlowBigQuerySnowflakeDatabricksRedshiftTROCCOdbtTableauLooker StudioPower BIQuickSightOpenAIVertex AIBedrockGitHubConfluenceBacklogSlack
Work style
Hybrid work available (Wednesday/Thursday remote). Location: Tokyo.
Other notes
Annual salary: 10,000,000 JPY - 15,000,000 JPY. Full-time employee. No fixed term.