[Senior Consultant - AI/ML Data Scientists] A diverse environment / Leading AI and machine learning projects.
Your Role
This special squad comprises of creative, curious, and passionate individuals who are given a plethora of opportunities to learn and grow. These diverse and brightest minds come together to build new, disruptive, and game-changing technology. They have a clear and defined aim to bring a change not only in the industry but also in society.
Your Key Responsibilities
Understand the requirements both functional and non-functional by going through the specifications and with inputs from business analysts and participate in creating high level estimate as well as translating the same to data requirements in order to create a data requirements document and participate effectively in the design, development and testing phases of the project
Utilize analytical, statistical, and programming skills to collect, analyze and interpret data sets
Create hypothesis scenarios based on the business requirements
Create model design artifacts to provide deliverables in line with requirements
Develop models and algorithms
Review all artifacts (Design, Code, Documentation, Unit test scripts)
Develop A/B testing and test model quality
Define process and tools to monitor and analyze model performance
Required Qualifications
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
At least 8 of experience in Information Technology.
Japan citizens and those authorized to work in Japan are encouraged to apply. We are unable to sponsor at this time.
At least 4 years of experience in Data Science/AI/ML projects
Preferred Qualifications
At least 4 years of experience in AI/ML/DL algorithms, Python, R, Data pipeline, Data cleansing, Visualization
Excellent verbal and written communication skills
Experience in software development life cycle
Ability to work in team in diverse/ multiple stakeholder environment
Experience and desire to work in a Global delivery environment.
Company Info
About the Company (Culture, etc.):
Infosys is a global leader in next-generation digital services and consulting. We enable clients in over 56+ countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey by enabling the enterprise with an AI-powered core.
Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
[Future Business Development]
We will continue to empower businesses with agile digital at scale to deliver unprecedented levels of performance. Our always-on learning agenda drives continuous improvement through our global innovation ecosystem.
[Corporate Culture / Office Atmosphere]
Infosys has been recognized as a Top Employer across APAC for the sixth consecutive year. As an AI-first organization, we empower our people to work on next-generation technologies, continuously learn, and create impact at scale-supported by a culture rooted in care, inclusion, and excellence. Join a culture that's not just promised-it's certified.
[Measures against passive smoking]
No smoking indoors in principle (Dedicated smoking rooms available)
Job Requirements
Required Qualifications
・Must reside in Japan
・4+ years of experience in data science/AI/ML projects
English Level
Fluent (TOEIC 865-)
Japanese Level
Business Level(JLPT Level 2 or N2)
Salary
Depends on experience
Other Salary Description
- Statutory social insurance: Welfare pension, unemployment insurance, health insurance, long-term care insurance, workers' compensation insurance
- Health and well-being support: Annual health checkups with partial reimbursement, stress checks, support from an industrial physician
- Employee engagement and well-being: Employee events, well-being programs, recognition programs
- Workplace facilities: On-site facilities including free drinks
- Education and training
- Full reimbursement of transportation expenses
- Term life insurance
- Referral bonus program
- Year-end tax support
- Short-time work system for employees with caregiving responsibilities
Holidays
Complete two-day weekend (Saturday, Sunday, and public holidays)
Paid leave
Sick leave
Bereavement leave
Job Contract Period
full-time employee
Nearest Station
Otemachi Station (direct access)
Remote work