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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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and data science communities. Join relevant forums, attend virtual meetups, and connect with people on LinkedIn. 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. Use GitHub or a personal website to display your work. This will give potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your Python and ML knowledge. Practice common data science interview questions and be ready to discuss your past projects. We want you to feel confident and ready to impress!
✨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 passionate candidates who are eager to join our community-driven team at Nexus Mods!
We think you need these skills to ace Remote ML Data Scientist - Personalisation & Discovery
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and any experience you have with ML models. We want to see how you can own the pipeline for classification and enhance search relevance, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention your passion for gaming and how it aligns with our mission at Nexus Mods. We love seeing candidates who are genuinely excited about what we do!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
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 experience with Python libraries commonly used in machine learning, like Pandas and Scikit-learn. Practising coding challenges can also help you demonstrate your problem-solving skills during the interview.
✨Showcase Your ML Model Experience
Be ready to talk about the machine learning models you've worked with. Highlight specific projects where you enhanced search relevance or classification pipelines. Use concrete examples to illustrate your thought process and the impact of your work, as this will show your potential employer that you can contribute effectively to their goals.
✨Get Familiar with Gaming Data
Since this position is with a gaming company, it’s crucial to understand the types of data they might be working with. Research how data is used in gaming for personalisation and discovery. This knowledge will not only impress your interviewers but also help you align your skills with their needs.
✨Prepare Questions About Company Culture
With perks like a 4-day work week and a monthly game allowance, it's clear that the company values work-life balance and employee satisfaction. Prepare thoughtful questions about the team dynamics and company culture. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.