Technology Field
Data Analysis
Machine Learning
Position Summary
For this position, we are looking for researchers with strong expertise in data science and machine learning, including causal inference, recommender systems, sports analysis, or related fields. Candidates should be capable of developing and evaluating such algorithms using real data from commercial services.
Sony group aims to engage with over 1 billion users through its direct-to-consumer (DTC) services. To achieve the goal as a research and development hub for the einter group companies, our team upholds the theme of "Human-Centered Data Science" and conducts research and development within the following scope:
Human as a Data Source:
- Acquiring customers and enhancing user engagement through personalization
- Understanding behaviors and extracting insights both online and offline
- Creating new experiences based on these technologies and insights
Human as a Data User:
- Developing AI and data science technologies that are user-friendly for data analysts and creators
- Enhancing interaction technologies for improved usability and effectiveness
Responsibilities
■ Research and develop machine learning algorithms
■ Propose novel customer value using machine learning and data science techniques
■ Design and develop prototype applications with development partners
■ Work closely with business divisions including entertainment, financial, and electronics domain in the Sony group
■ Publish research papers about these activities
Required qualifications
■ Master's or doctoral degree in computer science, artificial intelligence, machine learning, statistics, econometrics or related fields
■ Proficiency in mathematics, statistical analysis, and data mining
■ Experience in data analytics projects on actual product data and applying machine learning models
■ 2+ years experience with Python programming
■ Ability to speak and write in English fluently.
Preferred qualifications
■ Experience with one or more of the following: causal inference, off-policy learning/evaluation, ITE/CATE estimation, multi-armed bandit problem, recommender algorithms, or similar.
■ Publishing research papers to top-tier conferences like NeurIPS, ICLR, ICML, KDD, WSDM, RecSys or similar.
■ Experience in applying machine learning to solve problems of marketing, user engagement, and user interaction in commercial services.
■ Experience in handling both research and development, especially with business organizations.
■ Having Kaggle expert/master/grandmaster status
■ Strong interest in Japanese language and Japanese culture
Product, Service
Online & hybrid services (entertainment, financial, sports, location based etc.)
Development Environment
OS : Windows/Linux/Mac
Programming language : Python, DNN frameworks
Cloud : AWS, GCP, Azure
BI/DA : Tableau
Application Requirements
Essay: Required
Coding test: Python
Required Skills:
Optional Skills:
Skills Required
- Master's or doctoral degree in computer science, artificial intelligence, machine learning, statistics, econometrics, or a related field
- Proficiency in mathematics, statistical analysis, and data mining
- Experience with data analytics projects using actual product data and applying machine learning models
- At least 2 years of experience with Python programming
- Fluent spoken and written English
- Experience with causal inference, off-policy learning or evaluation, ITE/CATE estimation, multi-armed bandits, recommender algorithms, or similar methods
- Research publications at top-tier conferences such as NeurIPS, ICLR, ICML, KDD, WSDM, or RecSys
- Experience applying machine learning to marketing, user engagement, or user interaction problems in commercial services
- Experience combining research and development with business organizations
- Kaggle Expert, Master, or Grandmaster status
- Strong interest in Japanese language and culture
Sony Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sony and has not been reviewed or approved by Sony.
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Healthcare Strength — Health coverage spans medical, dental, and vision with multiple plan options, and mental‑health programs are highlighted across major U.S. entities. Some groups indicate day‑one eligibility and active annual updates, signaling well‑maintained coverage.
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Retirement Support — Retirement programs include a company 401(k) with matching contributions, with some units adding an additional employer retirement contribution. Structured compensation governance and a mature plan footprint point to reliable long‑term support.
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Parental & Family Support — Parental leave and family‑building benefits (e.g., fertility support, backup care, child development resources) are emphasized at key U.S. entities. These are positioned as part of a comprehensive package alongside wellbeing and lifestyle perks.
Sony Insights
What We Do
See everything new from the world of Sony USA—including electronics, PlayStation, movies, music and TV shows—plus find support for your Sony products. Sony’s purpose is simple. We aim to fill the world with emotion, through the power of creativity and technology. We want to be responsible for getting hearts racing, stirring ambition, and putting a smile on the faces of our customers. That challenge, combined with our spirit of innovation, motivates us to create groundbreaking technology, entertainment, and services for people worldwide. Our history as a global brand has been built around employees that all have a passion for touching peoples' lives, and pride in pushing beyond the status quo to produce truly extraordinary results. We’re uniquely positioned because we operate in many different industries - from movies and music to video games and electronics. And, with offices around the globe, we benefit from a global workforce that learns and grows together through mutual respect. If you're ready to join a diverse team at an innovation-led company with the power to change lives, then we encourage you to read up on the different Sony group companies and check out our Life page. Then, get in touch, and together, let’s make the world say wow.
