At a Glance
- Tasks: Develop deep learning models for recommendations and analytics.
- Company: Join Rakuten Viber, a leader in communication technology.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Dynamic team environment with a focus on cutting-edge technology.
- Why this job: Lead innovative data-driven projects and collaborate with top researchers.
- Qualifications: Master's degree and 3 years of experience in data science.
The predicted salary is between 50000 - 60000 £ per year.
Rakuten Viber is looking for a Data Scientist to develop deep learning models across various applications such as recommendations and analytics. The role requires a Master's degree and a minimum of 3 years of experience designing production-level models.
You will collaborate with experienced researchers and have opportunities to lead data-driven projects from inception to production. Strong proficiency in Python and relevant tools is essential.
Data Scientist - Recommender Systems & Deep Learning employer: Rakuten Viber
Rakuten Viber is an exceptional employer that fosters a collaborative and innovative work culture, where data scientists can thrive in developing cutting-edge deep learning models. Located in a dynamic tech environment, employees benefit from continuous growth opportunities, mentorship from seasoned researchers, and the chance to lead impactful projects that shape the future of communication technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Recommender Systems & Deep Learning
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Rakuten Viber. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects and recommender systems. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your Python skills and relevant tools. We all know that technical interviews can be tough, so practice coding challenges and be ready to discuss your past projects.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Scientist - Recommender Systems & Deep Learning
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with deep learning models and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background makes you a perfect fit for our team. Let us know what excites you about working on recommender systems.
Showcase Your Projects:If you've worked on any production-level models or data-driven projects, make sure to mention them! We love seeing real-world applications of your skills, so include links to your GitHub or any relevant portfolios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Rakuten Viber
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning models and recommender systems. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This shows that you not only understand the theory but can also apply it in real-world scenarios.
✨Show Off Your Python Skills
Since strong proficiency in Python is a must, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process while coding. Practising common algorithms and data structures in Python can really help you shine.
✨Collaborate Like a Pro
This role involves collaboration with experienced researchers, so be ready to talk about your teamwork experiences. Share examples of how you’ve successfully worked in a team setting, led projects, or contributed to group discussions. Highlighting your communication skills will show that you’re a great fit for their collaborative environment.
✨Prepare Questions That Matter
At the end of the interview, you’ll likely have a chance to ask questions. Prepare thoughtful questions about their current projects, the tools they use, or their approach to data-driven decision-making. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
