Research Engineer for Data Science and Machine Learning

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Job Description

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

Qualifications

Required

• 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

• 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

Data Analysis, Machine Learning

About the Company

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.