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- Tasks: Lead the development of deep learning models for recommendations and analytics.
- Company: Join Rakuten Viber, a top global app connecting millions worldwide.
- Benefits: Enjoy a collaborative environment with opportunities for remote work and innovative projects.
- Why this job: Make a real impact on users' lives while working on cutting-edge machine learning challenges.
- Qualifications: Master's degree in relevant fields and 4+ years of experience in deep learning.
- Other info: Ideal for those passionate about AI and eager to push boundaries in technology.
The predicted salary is between 48000 - 72000 £ per year.
This job is brought to you by Jobs/Redefined, the UK\’s leading over-50s age inclusive jobs board.
Description
Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people\’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities
- Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
- Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
- Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
- Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.
Requirements
- Master\’s degree in Statistics, Mathematics or Computer Science.
- Minimum of 4 years of experience in designing, developing and deploying production-level deep learning recommendation models with a proven business impact.
- Fluency in Python, Pandas/Dask, SQL, PyTorch or Tensorflow. Ability to write readable and maintainable code.
- Strong communication and storytelling skills with both technical and non-technical audiences. Ability to present complex technical subjects to non-technical stakeholders.
- Ability to read AI research publications and implement the algorithms & architectures from scratch.
Advantages
- Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
- Worked on deep learning graph model solutions with 10\’s of TB of data.
- Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
- Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations in the field.
- Experience working with technologies like SageMaker, Athena/Trino, Spark, Milvus, and OpenSearch.
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Senior Data Scientist employer: Viber
Contact Detail:
Viber Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in deep learning and recommendation systems. Being able to discuss recent research or innovations during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Prepare to showcase your problem-solving skills by thinking of specific examples where you've successfully implemented deep learning models. Be ready to explain the challenges you faced and how you overcame them, as this will highlight your experience and capability.
✨Tip Number 3
Brush up on your communication skills, especially when it comes to explaining complex technical concepts to non-technical stakeholders. Practising how to present your past projects in a clear and engaging way can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the data science community, particularly those who have experience in recommendation systems. Engaging in discussions or attending relevant meetups can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in deep learning and recommendation systems. Use specific examples of projects you've worked on that demonstrate your skills in Python, SQL, and machine learning frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it aligns with Rakuten Viber's mission. Mention any relevant publications or projects that showcase your expertise in generative models or deep learning graph solutions.
Showcase Communication Skills: Since the role requires strong communication skills, consider including examples of how you've successfully presented complex technical concepts to non-technical audiences. This could be through previous job experiences, presentations, or even workshops.
Highlight Problem-Solving Abilities: Emphasise your ability to autonomously find solutions to complex problems. Provide specific instances where you've tackled challenging data-related issues and the impact your solutions had on previous projects or companies.
How to prepare for a job interview at Viber
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and deep learning frameworks like PyTorch or TensorFlow. Bring examples of projects where you've implemented recommendation systems or deep learning models, and be ready to explain the impact they had on business outcomes.
✨Communicate Effectively
Since the role requires presenting complex technical subjects to non-technical stakeholders, practice explaining your work in simple terms. Use storytelling techniques to make your explanations relatable and engaging, ensuring that everyone understands the significance of your contributions.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles, particularly in social network recommendations. Highlight how you approached these problems autonomously and the innovative solutions you implemented to overcome them.
✨Stay Updated on AI Research
Familiarise yourself with recent advancements in machine learning and deep learning, especially in generative models and reinforcement learning. Being able to reference current research or trends during your interview will show your passion for the field and your commitment to continuous learning.