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- Tasks: Own the data pipeline for classification and enhance search relevance using rich datasets.
- Company: Join BLACK TREE GAMING LIMITED and be part of Nexus Mods.
- Benefits: Enjoy a 4-day work week, monthly game allowance, and private healthcare.
- Other info: Be part of a team dedicated to evolving community-driven modding.
- Why this job: Combine your passion for gaming and data in a dynamic role.
- Qualifications: Strong Python skills and experience with ML models required.
The predicted salary is between 50000 - 70000 £ per year.
BLACK TREE GAMING LIMITED seeks an experienced Data Scientist to join Nexus Mods. You will own the pipeline for classification and enhance search relevance using rich datasets. The ideal candidate has strong Python skills and experience with ML models.
Enjoy benefits like a 4-day work week, monthly game allowance, and private healthcare. If you're passionate about gaming and data, apply now to join a team dedicated to evolving community-driven modding.
Remote ML Data Scientist - Personalisation & Discovery in London employer: Black Tree Gaming Limited
Contact Detail:
Black Tree Gaming Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Data Scientist - Personalisation & Discovery in London
✨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 ML projects, especially those related to personalisation and discovery. 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 your Python and ML knowledge. Be ready to discuss your past projects and how you've tackled challenges. Practice common interview questions and think about how your experience aligns with the role at Nexus Mods.
✨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 genuinely interested in joining our team. So, hit that apply button and let’s get started!
We think you need these skills to ace Remote ML Data Scientist - Personalisation & Discovery in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and any experience you have with ML models in your application. We want to see how you can own the pipeline for classification and enhance search relevance!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect your passion for gaming and data. We love seeing candidates who are genuinely excited about what we do.
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication that gets to the point, so make sure your key achievements stand out!
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 ensure it reaches the right people!
How to prepare for a job interview at Black Tree Gaming Limited
✨Know Your Python Inside Out
Since the role requires strong Python skills, make sure you brush up on your coding abilities. Be prepared to discuss your previous projects and how you've used Python in machine learning models. Practising coding challenges can also help you feel more confident.
✨Familiarise Yourself with ML Models
Understand the different types of machine learning models and their applications, especially in classification and search relevance. Be ready to explain your experience with these models and how they can enhance user experience in gaming.
✨Show Your Passion for Gaming
This position is all about community-driven modding, so let your enthusiasm for gaming shine through. Share your favourite games, any mods you've created or used, and how you think data science can improve the gaming experience.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This shows you're genuinely interested and helps you determine if it's the right fit for you.