Rakuten Americas is looking for a talented Data Scientist to join our amazing Machine Learning team in Ukraine.
Rakuten Americas is a global leader in internet services, empowering individuals, communities, businesses and society. 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.
Our Data Science group consists of ~40 Data Scientists and Engineers, part of them based in Ukraine. We apply SOTA and classical machine learning techniques to Rakuten data to improve the product, internal processes and personalization for users, which in turn improves profitability of Rakuten business units. Our products are composed of many microservices. We own the products we deliver and maintain them. We follow DevOps approach when developers are responsible for code delivery with help of existing tools created by a dedicated Infra team.
As a team is distributed, you can work remotely or from our Odessa/Kiev offices. We cover english classes, health insurance, sport activities, certifications/trainings and participation in conferences.
•BS or MS in a technical field
•2+ years of experience in machine learning, the experience in at least one of next domains will be a plus: NLP, Recommendation Systems, Predictive Analytics, Knowledge graphs
•Expertise in Python and SQL
•Strong CS fundamentals, such as algorithms and data structures
•Experience with cloud computing stacks such as Amazon Web Services preferred
•Excellent written and verbal communication skills
•Enthusiasm for working hard and having fun in a dynamic environment
•Prepare the required datasets for modeling purposes
•Evaluate the models and perform investigative error analyses
•Report and provide feedback on the findings of analyses to team members
•Research and experiment with different machine learning algorithms and techniques to solve business problems
•Work with engineers to make sure the engines scale well on high volumes of data