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- Tasks: Lead data science projects to enhance gaming experiences and player engagement.
- Company: Product Madness, a leading gaming company in Greater London.
- Benefits: No travel required, collaborative environment, and opportunities for professional growth.
- Other info: Join a dynamic team focused on cutting-edge gaming AI.
- Why this job: Make a real impact on gaming through innovative data science initiatives.
- Qualifications: PhD or MSc with 5+ years of data science experience, strong SQL and Python skills.
The predicted salary is between 70000 - 90000 £ per year.
Product Madness in Greater London is seeking a Principal Data Scientist to lead high-impact data science initiatives that improve gameplay and player engagement. The role requires a PhD or MSc and over 5 years of data science experience, including deploying machine learning products.
Ideal candidates will have strong skills in SQL, Python, and familiarity with big data technologies. This position does not require travel and offers significant opportunities for collaboration across teams.
Lead Data Scientist - Gaming AI and Experimentation employer: Product Madness ??
Contact Detail:
Product Madness ?? Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Gaming AI and Experimentation
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and data science communities. Join relevant forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to gaming AI. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on SQL and Python. Practice coding challenges and be ready to explain your thought process. We recommend using platforms that simulate real interview scenarios to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Lead Data Scientist role!
We think you need these skills to ace Lead Data Scientist - Gaming AI and Experimentation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially any projects related to gaming AI and player engagement. We want to see how your skills in SQL and Python shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your past work and how it aligns with our mission at Product Madness. Let your passion for gaming and data science come through!
Showcase Your Technical Skills: Since we're looking for someone with strong technical abilities, make sure to mention any relevant machine learning products you've deployed. We love seeing practical applications of your skills, so don't hold back!
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 to do!
How to prepare for a job interview at Product Madness ??
✨Know Your Data Science Stuff
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss your past projects, especially those involving machine learning. They’ll want to see how you’ve deployed these technologies in real-world scenarios.
✨Show Off Your Collaboration Skills
Since this role involves working across teams, be prepared to talk about your experience collaborating with others. Share specific examples of how you’ve worked with different departments to achieve a common goal, especially in gaming or similar fields.
✨Prepare for Technical Questions
Expect some technical questions that test your knowledge of big data technologies. Brush up on the latest trends and tools in the industry, and be ready to explain how you would apply them to improve gameplay and player engagement.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current data science initiatives or how they measure player engagement. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.