At a Glance
- Tasks: Design, build, and deploy machine learning models in a Snowflake environment.
- Company: Push Gaming, a leading gaming company in the UK.
- Benefits: Hybrid working environment and opportunities for professional growth.
- Other info: Exciting role with a focus on innovation and collaboration.
- Why this job: Join a dynamic team to enhance game design and player engagement with AI.
- Qualifications: Experience in data science, CI/CD processes, and data pipeline development.
The predicted salary is between 45000 - 55000 € per year.
Push Gaming in the United Kingdom is seeking a mid-level Data Scientist specializing in AI & MLOps. In this role, you will design, build, and deploy machine learning models within a Snowflake environment, collaborating with various teams to drive improvements in game design and player engagement.
The ideal candidate has experience with CI/CD processes and data pipeline development, and a background in data science or statistics. The position offers a hybrid working environment and opportunities for professional growth.
AI & MLOps Data Scientist — Production ML (Snowflake) employer: Push Gaming
Push Gaming is an exceptional employer that fosters a dynamic and innovative work culture, where creativity meets technology in the heart of the UK. With a strong emphasis on professional development, employees are encouraged to grow their skills in a supportive hybrid environment, making it an ideal place for those passionate about AI and MLOps. The collaborative atmosphere not only enhances game design but also ensures that every team member's contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land AI & MLOps Data Scientist — Production ML (Snowflake)
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and data science communities. Attend meetups or webinars, and don’t be shy about sliding into DMs 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 machine learning models and projects, especially those related to game design or player engagement. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your CI/CD processes and data pipeline development knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions in the AI & MLOps space.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI & MLOps Data Scientist — Production ML (Snowflake)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI, MLOps, and Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team at Push Gaming. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Don’t forget to mention your experience with CI/CD processes and data pipeline development. We’re looking for someone who can hit the ground running, so highlight any specific tools or technologies you’ve worked with that are relevant to the job.
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 – just follow the prompts!
How to prepare for a job interview at Push Gaming
✨Know Your ML Models
Make sure you can discuss the machine learning models you've worked with in detail. Be ready to explain how you designed, built, and deployed them, especially in a Snowflake environment. This shows your hands-on experience and understanding of the tools they'll be using.
✨Showcase Your CI/CD Knowledge
Since this role involves CI/CD processes, brush up on your knowledge of continuous integration and deployment. Be prepared to share examples of how you've implemented these processes in past projects, as it demonstrates your ability to streamline workflows and improve efficiency.
✨Collaborate Like a Pro
Collaboration is key in this role, so think of examples where you've worked with cross-functional teams. Highlight how you communicated complex data science concepts to non-technical stakeholders, as this will show your ability to bridge gaps between teams and drive improvements in game design.
✨Prepare for Technical Questions
Expect some technical questions related to data pipeline development and statistics. Brush up on your fundamentals and be ready to solve problems on the spot. Practising common data science interview questions can help you feel more confident and prepared.
