We are a part of Rakuten, one of the biggest tech companies in the world, currently involved in e-commerce, e-reading, travel, banking, securities, credit cards, e-money, and more. Founded in 1997, Rakuten is headquartered in Tokyo, with over 25,000 employees worldwide.
27 августа 2021

ML Developer for Data Science Team (Python)

Киев, Одесса, удаленно

SOFTWARE ENGINEER, DATA SCIENCE TEAM (PYTHON)

Rakuten Advertising is looking for a Software Engineer to join our Data Science team.
You will be part of a diverse, flexible, and collaborative environment where you will be able to apply and develop your skills and knowledge working with modern tools.

As a Software Engineer in the Data Science team, you will support the Machine Learning initiatives at Rakuten Advertising, making it possible for our algorithms and technologies to be used at high-scale in production.

Requirements :

The ideal candidate has:

· A strong Python, SQL, and ETL development experience.
· A minimum of three years of experience working with data and programming in Python
· Familiarity with relational / non-relational database approaches and knowing which to apply where and when
· Ability to practice disciplined engineering (testing, code reviews, and writing readable code)
· Ability to work in a small team with a startup mentality.
· Excellent analytical communication and interpersonal skills
· Ability to work well under pressure, prioritize work and be well organized. Relish tackling new challenges, paying attention to details, and, ultimately, growing professionally.
· Ability to take ownership of the deliverables
· Very good English

Other key skills :

· Experience with basic Machine Learning technologies and algorithms

· Familiar with batch data pipelining frameworks such as Apache Airflow
· Understanding of event-driven and stream-based processing patterns and systems such as Spark Streaming, Kafka, or Kinesis

· Experience working with distributed teams situated globally in different geographies
· Bachelor’s degree in Computer Science, Information Science or related technical or quantitative discipline

What you will do :

· Develop pipelines to automate data ingestion and data transformation;

· Maintain a data infrastructure compatible with the product roadmap objective an our Machine Learning stack;

· Work with a motivated team of data scientists and software engineers;

· Communicate project updates and timelines to different teams on a frequent basis;

· Maintain a high-quality document of your project and more generally of the platform you will work with

Benefits :

· English lessons
· Bonuses for education and professional development
· Access to training platforms
· Comfortable workplace (remote work during quarantine)
· Variety of knowledge sharing and training opportunities.
· Xbox, PS, library and table tennis in office
· Medical insurance: including dentist and covid-19 cases.
· Sports compensation
· 20 days paid vacation, paid sick leave, maternity leave

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