Hitachi Asia Ltd., a subsidiary of Hitachi, Ltd., serves as the regional headquarters for seven countries across Southeast Asia (Indonesia, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam).We are constantly increasing our presence through our forays in information & telecommunication systems, power systems, social infrastructure & industrial systems, electronic systems and equipment, construction machinery, high functional materials and components, automotive systems and home appliances, among many more. Our commitment to excellence drives us to continually expand our presence in the region.
Key Job Duties:
To lead Social implementation of digital solutions that make full use of AI technology. Through collaboration with academia, grasp the latest AI technology trends and disseminate them internally.
1) Industry Awareness and External Network
Scout and standardize market research methods to identify innovative industry trends, disruptors, and new market spaces for emerging or new market opportunities.
2) Innovation Strategy, Pipeline and Roadmap
Champion an innovation stream within the innovation road map, ensuring the right resources are in place to execute on the strategy.
3) Win Research Funding
Contribute to developing business cases for research funding to quantify current costs, justify project investment, and identify the return on investment.
4)Research
Develop and/or deliver a plan for significant aspects of a research program with guidance from senior colleagues.
5) Product and Solution Development
Ability to conceptualize solutions, conduct research and development on leading practices, an innovative individual, working with both internal and customer teams. Analyze and evaluate the feasibility and relevance of proposed complex products and services - and develop and amend as necessary with guidance from senior colleagues. May also be responsible for supervising activities performed by a product development or specialist team.
6) Information and Business Advice
Provide specialist advice on the interpretation and application of policies and procedures, resolving complex or contentious queries and issues and enabling others to take appropriate actions.
7) Knowledge Management
Develop policies and processes, create best practices, set up case studies, and deliver internal knowledge-sharing sessions to capture, and share knowledge on project/program outcomes and innovative practices in a particular area of expertise to share knowledge among colleagues and to support the practice.
Qualifications:
- Master degree preferably in Engineering, Computer Science, Statistics, Economics, Mathematics or related quantitative field.
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
- 3 or more years of relevant of work experience in hands on data science, Data/ ML engineering.
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
- Visualise, interpret, and report data findings and may create dynamic data reports.
- Excellent written and oral communication skills in English.
