Data Scientist, Intelligent Network Solutions Section -Network Intelligence & Analytics Department (RMI AI & Data Div)
Rakuten Crimson House
Rakuten Mobile
Job Description:
About Organization
The mission is to empower the organization with AI-driven solutions that drive excellence and competitive advantage.
Identifying and implementing AI use cases across all departments to optimize processes and drive value. Ensuring ethical and responsible AI practices are at the core of the AI platform's development and deployment. Sharing AI expertise with industry peers, contributing to the broader AI community, and staying at the forefront of AI advancements.
Job Duties
We are seeking a highly skilled Data Scientist who will be responsible for analyzing large volumes of raw data to identify patterns and insights that will contribute to the improvement of our company. The successful candidate will be proficient in building data products and possess a strong understanding of analysis, mathematics, and statistics. Critical thinking and problem-solving abilities are essential for interpreting data, and a passion for applying machine learning techniques is highly desired.
The main objective of this position is to assist Rakuten Mobile, Inc. in analyzing trends in order to make informed decisions and automate network operations and management.
Collecting, preprocessing, and analyzing data
Developing models to address various challenges
Presenting information using data visualization techniques
Identifying valuable data sources and automating collection processes
Preprocessing structured and unstructured data
Analyzing large amounts of information to identify trends and patterns
Building predictive models and machine learning algorithms
Combining models through ensemble modeling
Presenting information using data visualization techniques
Proposing solutions and strategies for business challenges
Collaborating with engineering and product development teams
Minimum Qualifications
5-7 years of experience as a Data Scientist or Analyst
Basic Understanding of machine-learning and AI
Knowledge of Python, PySpark, SQL, Flask; familiarity with data frameworks such as
Hadoop, databases (PostgreSQL, MongoDB, YugaByte), understanding of cloud-native deployments and infrastructure
Strong math / analytical skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
Experience in data mining
Experience in product development
Preferred Qualifications
MSc/BSc/BA in Computer Science, Engineering, or relevant field; graduate degree in Data Science or a quantitative field
Japanese language skill
Languages:
English (Overall - 3 - Advanced), Japanese (Overall - 2 - Intermediate)* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Mining Data visualization Engineering Flask Hadoop Machine Learning Mathematics MongoDB PostgreSQL PySpark Python Responsible AI SQL Statistics Unstructured data
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