Business Overview
Rakuten Group has almost 100 million customer bases in Japan and 1 billion globally as well, providing more than 70 services in a variety such as e-commerce, payment services, financial services, telecommunication, media, sports, etc.
Following the strategic vision "Rakuten as a data-driven membership company", we, Analytics Data Engineering Department (ADED), are expanding our AI & data business across our multiple Rakuten Group companies.
The team under Measurement & Insight Section leverages advanced technology to craft bespoke, intelligent systems that elevate personalized user experiences and drive strategic efficiency across Rakuten's various applications and services.
Why We Hire
We are looking for an experienced Data Scientist who will contribute to:
extracting actionable insights from data and
the model development for Rakuten's data & AI products at scale, which deliver personalized experiences
Position Details
The Data Scientist will be instrumental in transforming complex business requirements into prototype solutions, conducting exploratory data analysis, and model building (Note that successful candidates may also be involved in designing robust & scalable data/training pipelines but not mandatory).
The section is also hiring a Machine Learning Engineer – its focus is more on software engineering for production applications.
Our Tech Stack
While we advocate for using the right technology for the right task, we often leverage the following technologies.
Python, Django, Flask, Golang, REST, GraphQL, Docker, Kubernetes, Helm, Argo Workflow, Argo CD, Gitlab (CI), Sentry, Presto/Trino, Hive, Hadoop, Spark, Postgres, SQL/HQL, Kubeflow, etc.
An international and diverse team with highly skilled engineers.
Mandatory Qualifications
Educational Background:
Bachelor's degree in Data Science, Machine Learning, Computer Science, Physics.
At least around 7 year+ of professional experience or the equivalent skills.
Mathematics, Statistics, or a similar quantitative field. Mathematical understanding of general statistical modeling, machine learning algorithms, and data analysis techniques.
Proficiency in using at least one of modern ML frameworks such as TensorFlow, PyTorch, or Keras, etc.
Desired Qualifications
High level understanding of modern MLOps trends.
Expert/Senior level in at least one of the major/modern computer languages including but not limited to Python, C/C++, Java, or Go, etc.
Experience in full lifecycle in production development: from (large scale) data pipelines to model training, inference APIs (both batch and real-time), and model version control & tracking/observability, including overall solution design optimizations.
#engineer #datascientist #AI #aianddatadivLanguages
English (総合 - - 上級)
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