Data Scientist AI Role

■Your Role You will lead overall operations to solve various client challenges using AI and mathematical optimization techniques. Project examples include: ・Developing AI optimization solutions for power supply and demand planning ・Developing AI optimization solutions for vessel scheduling and shipping plans ・Developing time-series forecasting and anomaly detection solutions using sensor data ・Developing human mobility analysis and simulations using location data Responsibilities: (Assigned areas will be discussed based on capability and preference) ・Data aggregation, cleansing, visualization, and analysis to solve client challenges ・Design and implementation of machine learning engines, along with reporting analytical results ・Implementation of simulators ・Educational initiatives to upskill internal data scientists and enhance technical capabilities ・Participation in technical discussions regarding SaaS product development Job Requirements Required: ・Experience in analysis using AI, such as machine learning and reinforcement learning (duration not specified; experience with at least two projects) ・Knowledge and experience with mathematical optimization algorithms (preference given to candidates with practical experience) ・Experience in creating simulators and studying AI Preferred: ・Proven track record in data science competitions such as Kaggle ・For foreign nationals, Japanese language proficiency at the N2 level or higher ・Software engineering skills ・Development experience in cloud environments such as AWS Ideal Applicants: ・Strong desire to solve challenges in the social infrastructure industry through the power of IT. ・Ability to take proactive ownership of problem-solving initiatives. ・Ambitious mindset eager to take on new challenges across a broad range of domains. ・Respectful attitude that can genuinely appreciate the support of team members and peers. Working Hours: ・FLEX TIME Benefits: ・Health insurance, employee pension, unemployment insurance, and worker's accident compensation insurance. ・Subsidy for purchasing technical books. ・In-house sports competitions and engineering camps. ・Holidays: More than 120 days/year, 2 days off per week (Sat. and Sun.), National holidays, New Year holidays. ・Paid leave and special leave (summer vacation, congratulation or condolence leave, etc.).