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Rakuten Intelligence was founded by proven entrepreneurs and, as a Rakuten group company, offers the best of both worlds: a startup environment with the backing of an established global enterprise that is revolutionizing the internet services landscape.
6 февраля 2020

Categorization Assistant

Одесса

Необходимые навыки

Advanced English
Analytical / investigative / innovative mindset
Ability to focus on details

Будет плюсом

Managing a catalog is a plus
Math degree is a plus
SQL is a plus
Familiarity with US consumer goods is a plus

Предлагаем

Working hours: 5 days per week, 8 hours per day + lunch
Starting salary: $400 (payday twice a month)
Probation period: 3 months
Medical insurance (after probation): UNIQA.
Bonuses for self-development (after probation): various possibilities for self-development in the area you are interested in, like foreign or programming languages classes (especially if it intersects with the interests of the company)
Office: in the city center. Coffee, tea, cookies and all that stuff plus hilarious people around)))

Career opportunities:
After some time (and after obtaining new skills and hands-on experience) you can grow professionally up to:
— data research/extraction engineer
— data analyst
— quality assessment engineer
Our company’s policy is to make every effort to help employees grow professionally. We provide internal and external training programs, support your self-development, etc. And all the team leads work hard on making your work challenging and exciting!

Обязанности

Who are we looking for?
We are looking for candidates who master English language on the perfect Intermediate or good Upper Intermediate level (speaking / reading / writing) as the major part of job functions demand those skills.
Also, the candidate should have an analytical mindset as this person is going to need to explore the data, be creative, and use trial and error approach to discover classification problems.
This position is designed to manage one simple process: manual assigning of commercial items (goods bought in different on-line shops) to correct category. Real life example: once you want to buy an iron on-line you will normally choose the following path “->Household appliances -> Cleaning and ironing gadgets -> Irons”. So, at this job you will have to control if all the irons are in this category.

О проекте

Company: Rakuten Americas. Our 20+ businesses span e-commerce, digital content, communications, and data analytics, bringing the joy of discovery to millions of members around the world. We’ve brought together a unique set of internet services that are changing the way retailers and marketers do business. With businesses such as Rakuten Marketing, Rakuten Rewards, and Rakuten Intelligence, we can offer marketers the platform and data intelligence to reach consumers at the moment they want to make a purchase.

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