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For Companies At a Glance
- Tasks: Develop predictive models to optimise user acquisition and drive sustainable growth.
- Company: Leading mobile gaming company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make impactful data-driven decisions in the gaming industry.
- Qualifications: Strong Python and SQL skills, plus experience with cloud-based data platforms.
- Other info: Collaborative environment with a chance to work on exciting projects.
The predicted salary is between 36000 - 60000 £ per year.
A leading mobile gaming company in Greater London is seeking a Data Scientist to join their User Acquisition Analytics team. The role involves developing predictive models to optimize user acquisition and ensure sustainable growth.
Candidates should possess strong Python and SQL skills, along with experience in cloud-based data platforms. Collaborating with a skilled team, you will communicate complex insights and maintain dashboards in Looker.
This is an exciting opportunity to contribute to data-driven business decisions.
Predictive UA Data Scientist - pLTV & Looker Analytics in London employer: Miniclip SA
Contact Detail:
Miniclip SA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Predictive UA Data Scientist - pLTV & Looker Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analytics projects. We recommend using platforms like GitHub to share your work, especially if you’ve got some cool Python or SQL projects up your sleeve.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with cloud-based data platforms. We suggest practising common data science interview questions and even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! We make it super easy for you to find roles like the Predictive UA Data Scientist. Plus, it shows you’re genuinely interested in joining our team. Don’t miss out on this chance!
We think you need these skills to ace Predictive UA Data Scientist - pLTV & Looker Analytics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you can use these tools to develop predictive models and optimise user acquisition.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CVs and cover letters to the role. Mention your experience with cloud-based data platforms and how it relates to the job.
Communicate Clearly: Since you'll be communicating complex insights, make sure your application reflects your ability to explain technical concepts simply. We appreciate clarity and conciseness!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Miniclip SA
✨Know Your Data Tools
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 tools, especially in relation to predictive modelling and data analysis.
✨Showcase Your Cloud Experience
Since the role involves cloud-based data platforms, be prepared to talk about your experience with them. Highlight any relevant projects or challenges you've faced and how you overcame them.
✨Communicate Complex Insights Clearly
Practice explaining complex data insights in a simple way. You might be asked to present findings or explain your thought process, so think about how you can make your insights accessible to non-technical team members.
✨Familiarise Yourself with Looker
If you have experience with Looker, great! If not, take some time to learn the basics. Being able to discuss how you would maintain dashboards and use Looker for analytics will show your enthusiasm for the role.
