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- Tasks: Enhance recommendation systems and conduct behavioural analytics using Python and SQL.
- Company: Leading entertainment publisher with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in a collaborative environment while driving innovative marketing strategies.
- Qualifications: Strong background in Python, SQL, machine learning, and collaborative filtering techniques.
- Other info: Join a dynamic team and shape the future of entertainment.
The predicted salary is between 30000 - 50000 £ per year.
A leading entertainment publisher is seeking a passionate Data Scientist to enhance their recommendation systems and conduct behavioral analytics. The ideal candidate will have a strong background in Python and SQL, with experience in machine learning and collaborative filtering techniques. This role offers the chance to work with cross-functional teams to drive innovative marketing strategies. If you are ready to make a real impact in a collaborative environment, this position could be a perfect fit for you.
Data Scientist, Recommender Systems & Personalization employer: Square Enix Co Ltd
Contact Detail:
Square Enix Co Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Recommender Systems & Personalization
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on collaborative filtering techniques and behavioural analytics. Practice explaining your thought process and how you've applied these concepts in real-world scenarios. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Data Scientist, Recommender Systems & Personalization
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and recommendation systems shine through. We want to see that you’re genuinely excited about the role and how you can contribute to enhancing our systems.
Highlight Relevant Skills: Make sure to emphasise your experience with Python, SQL, and machine learning techniques. We’re looking for candidates who can demonstrate their technical prowess, so don’t hold back on showcasing your skills!
Tailor Your Application: Customise your application to align with the job description. Mention specific projects or experiences that relate to collaborative filtering and behavioural analytics. This shows us that you’ve done your homework and are a great fit for the team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Square Enix Co Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to machine learning and collaborative filtering techniques.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've approached behavioural analytics in the past. Think of examples where your insights led to actionable strategies, and be ready to explain your thought process clearly.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be prepared to share experiences where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success.
✨Bring Ideas to the Table
Think about innovative marketing strategies you could propose based on your experience. Showing that you can think outside the box and bring fresh ideas will definitely impress the interviewers.
