[Fully Remote OK] Data Scientist

【Job Description】
You will primarily lead the proposal to analysis process for AI utilization challenges from customers in the manufacturing industry nationwide. Collaborating with our data scientists, you will work on data utilization and analysis methodology considerations using digital technologies and advanced techniques. You will also be responsible for managing these activities.

Based in our Advanced Technology Center that focuses on AI and data science services for the manufacturing industry, you will be involved in providing various service offerings tailored to clients' AI initiatives, including AI implementation support/planning, PoC/feasibility verification, consulting on organizational development to promote AI, and nurturing AI talent.

【Organizational Structure and Development Examples】
- Advanced Technology Center (70 members in total)
  - DX Consultants: 7
  - Senior Analysts: 25
  - Analysts: 38
  * Development teams typically consist of 2 to 5 members depending on the project scale.

【Sample Projects】
- Research on multi-objective optimization in semiconductor design and evaluation
- Analysis of factors improving the performance of electric vehicle batteries
- Quality inspection of automotive component inverter circuit boards
- Image recognition technology for autonomous driving
- Analysis of factors contributing to variations in flight routes/flight times for aircraft
- Support for interpreting machine learning models using XAI (Explainable AI)

【Position and Role】
- Data Scientist / Data Analyst

【Requirements】
**Skills** (Any of the following):
- Experience in consulting or developing AI utilization systems or services
- Knowledge of data analysis and machine learning
- Experience in Agile/Scrum development

**Mindset**:
- Customer-first mindset
- Willingness to contribute to raising the company's recognition as an AI vendor
- Ability to involve customers and development teams in realizing better proposals
- Desire to gain knowledge and experience in AI utilization, from research and development to design
- Eagerness to analyze various types of data in different industries
- Desire to accumulate experience in various industries
- High motivation for catching up with new technologies

**Nice to Have**:
- Knowledge of application development in a Linux environment
- Knowledge of Data Warehousing (DWH)
- Knowledge of Data Cloud platforms

**Tools Used**:
- Operating Systems: iOS, Android, Linux, Windows
- Programming Languages: Python, Java, C++, C#, JavaScript, React, Objective-C
- Databases: Postgres, Oracle, SQLServer
- Cloud Services: AWS, GCP, Azure, Docker, Kubernetes
- Data Tools: Hadoop, Jupyter, TensorFlow, PyTorch