We are seeking a talent with a strong background in Applied Mathematics and Computer Science (or related engineering fields) who has demonstrated practical experience to conduct research & development in the field of Mathematical Modeling & Optimization.

The selected candidate will have a chance to work in a variety of business domains of Toshiba products & solutions in collaboration with other world-wide Toshiba R&D centers. The business domains include manufacturing processes (smart factory), social infrastructure systems & solutions (e.g., water plant system, disaster prevention system, traffic system …), retail solutions, digital marketing, etc.

Job Description

All level requirements

• Collect, process, and analyze the input data/information of the target system
• Construct optimization model (decision variables, objective function, constraints) for the system being modelled by modeling tools (e.g., Google OR-Tools, PuLP…)
• Solve optimization model by using solvers (CBC, SCIP…) or by self-implementing a solving method (genetic algorithm, heuristic search methods…) to find solutions that optimize system objectives
• Report results/findings of analysis, tell story about result to customers.

Senior level requirements

• Be accountable for technical solutions and lead the team to solve technical issues during a given project.
• Be accountable for continuously discovering, evaluating, and implementing new technologies
• Conduct recruitment interview, training & coaching junior members in the field of Optimization.
• Establish estimation, propose research & development plan with customer.
• Monitor and control project progress complying company process.

Education & Experiences

• Bachelor’s degree in Applied Mathematics, Computer Science, Information Technology, Computer Engineering, Electrical Engineering, Telecommunication Engineering, or related engineering fields.
• Master’s degree or higher at Operations Research, Applied Mathematics, Data Mining, Machine Learning, or other Data Science related fields IS A PLUS.
• Practical experience as a researcher/ scientist in Mathematical Modeling & Optimization IS A PLUS.

Desired Skills

• Solid knowledge at Linear Algebra, Optimization, Numerical Computation
• Experience with several types of optimization problems, especially linear and mixed integer programing
• Experience with a variety of solving techniques/algorithms (branch-and-bound, heuristic search methods, genetic algorithm, etc.)
• Familiarity with optimization tools – Google OR-Tools, PuLP, Gurobi, CPLEX, etc
• Skillful at one of programming/scripting languages: Python, R, C/C++, Java etc.
• Familiarity with data mining algorithms and machine learning techniques (regression, decision trees, clustering, neural networks, Bayesian models…) is an advantage
• Demonstrated analytical thinking / experiences in research methodology.
• Excellent interpersonal & English communication skills, both written and verbal.
• Japanese language is an advantage.

Personal Attributes

• Having passion for discovering solution from mathematical optimization problem
• Highly motivated and business driven professional with a can-do attitude.
• Ability to solve problems by being collaborative, creative, and strong analytical skills.
• Ability to achieve outcomes with minimal direct supervision.
• Ability to pay careful attention to details.
• Capable of presenting complex technical topics in a clear and structured way for even non-technical stakeholder.
• Self-awareness, good team player, good sense of responsibility, result-oriented and deadline commitment.