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Senior Data Scientist, Recommendations

1 month ago

London, Greater London, United Kingdom Square Enix Full time

Job Summary:

Square Enix is a leading publisher of entertainment contents, known for digital games such as Final Fantasy series, Kingdom Hearts, Dragon Quest, NieR, Life is Strange and Just Cause. Our mission is to create and deliver entertainment contents that resonate with customers' hearts and minds.

The Senior Data Scientist, Recommendation will lead the development of personalized user experiences powered by machine learning. As a key member of the Data Science & AI Team, the Sr. Data Scientist will build, manage, and improve our communications with fans via large-scale models that drive engagement.

The successful candidate will excel at solving problems, delivering effective recommender system projects, and ensuring the process is streamlined, efficient, and continuously optimized. Adept at managing system implementations across various stages of development, the Senior Data Scientist, Recommendations should be as comfortable with early-stage Proof of Concept advocacy, project management, and internal workflow creation, as with introducing ML Ops practices and enhancing existing projects with more sophisticated methods.

Key Responsibilities:

  • Build and deploy scalable data science models/algorithms to drive marketing, promotion, and personalization actions that provide measurable improvement.
  • Identify, analyze, and interpret users' in-game/outer-game behavioral data, and apply analytics and machine learning methods.
  • Design, construct, and maintain predictive models including, but not limited to, social behavior, retention, and monetization to increase the lifetime value of our customers.
  • Provide ongoing maintenance and support for deployed machine learning models, ensuring their reliability and effectiveness in real-world applications.
  • Continuously improve our solutions to make them more simple, robust, efficient, and scalable. This includes pipeline design and continuous improvement schemes through machine learning.
  • Able to effectively manage existing code base, document past experiences, automate processes, and create feedback loops.
  • Lead junior/mid data scientists inside/outside of the team who works on recommendation projects.
  • Promote best practices in machine learning system deployment, testing, and evaluation.
  • Project management: Initiate PoC, create workflow with partner teams, deliver results for project approval, set schedules and priorities, and document results.
  • Remain alert to opportunities which further utilize our data or data science methods to benefit the business, operations, or key strategic initiatives.

Key Stakeholders:

Digital Channels, CRM&Rewards, Community & Service, Data Services, Intelligence, Analytics

Knowledge & Experience:

Essential:

  • Extensive experience as a Data Scientist and/or Product Engineer, working on similar projects such as user communication, service optimization, and personalization.
  • Practical experience in methodologies used in recommender systems such as Collaborative Filtering, Content Based Recommendation, Matrix Factorization.
  • Experience with the management of ML code base and experimentation result in an organized and efficient manner.
  • Experience with cloud platforms and technologies for deploying and managing machine learning models at scale, such as AWS, Azure, or Google Cloud Platform.
  • Entrepreneurial and curious mindset with a passion for experimentation and innovation combined with practical business instincts; can both dream big as well as execute and prioritize projects aligned to strategic needs.
  • Experience or desire to manage, mentor, and train Jr Data Scientists.

Competencies, Skills & Attributes:

Essential:

  • Proficiency in data analysis, data mining, and programming languages preferably with SQL, Python, TensorFlow, PyTorch, or scikit-learn.
  • Practical experience in ML ops, such as Python packaging, Docker/Kubernetes, CI/CD, deployment, and monitoring of ML models' performance.

Our goal at Square Enix is to hire, retain, develop, and promote the best talent, regardless of age, gender, race, religious belief, sexual orientation, or physical ability.