Senior Data Scientist, Recommendations

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist specializing in recommendations to enhance user experiences through machine learning. This pivotal role involves building and optimizing data models that drive engagement and personalization. The ideal candidate will lead projects from conception to implementation, collaborating with cross-functional teams to ensure effective deployment of machine learning solutions. With a focus on innovation and best practices, this position offers the opportunity to make a significant impact in a dynamic environment. If you're passionate about data science and eager to lead, this role is perfect for you.

Qualifications

• Extensive experience as a Data Scientist or Product Engineer.
• Practical experience in recommender system methodologies.
• Proficiency in data mining and programming languages.

Responsibilities

• Build and deploy scalable data science models to drive marketing actions.
• Lead junior data scientists and manage recommendation projects.
• Continuously improve solutions for efficiency and scalability.

Skills

Machine Learning

Data Analysis

Python

SQL

Project Management

Education

Bachelor's Degree in Data Science or related field

Master's Degree in Data Science or related field

Tools

AWS

Azure

Google Cloud Platform

TensorFlow

PyTorch

Docker

Kubernetes

Job description

Social network you want to login/join with:

Senior Data Scientist, Recommendations, London

col-narrow-left

Client:

Square Enix

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

2a061619d0a8

Job Views:

11

Posted:

29.04.2025

Expiry Date:

13.06.2025

col-wide

Job Description:

Job Summary:

Square Enix is a publisher of entertainment contents, primarily 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 which resonates with hearts and minds of customers.

The Senior Data Scientist, Recommendation will be a passionate leader focused on providing optimized and personalized user experiences powered by the application of machine learning. 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. This role will lead mid or junior level data scientist(s) and collaborate with Data Engineering, DevOps, and business stakeholders to ensure the accurate implementation and impact of recommender systems deployed.

Requirements

• Build and deploy scalable data science models/algorithms to drive marketing, promotion, and personalization actions that provide measurable improvement.
• Identify, analyse, and interpret users’ in-game/outer-game behavioural data, and apply analytics and machine learning methods.
• Design, construct and maintain predictive models including, but not limited to, social behaviour, 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:

• Extensive experience of proven 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 system 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
• 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.