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- Tasks: Build and enhance recommendation models for a large-scale streaming product.
- Company: Leading media technology company based in London.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Why this job: Make a real impact on user experience in the streaming industry.
- Qualifications: Experience in data science and strong collaboration skills required.
- Other info: Opportunity to mentor others and grow your career in a fast-paced setting.
The predicted salary is between 43200 - 72000 £ per year.
A leading media technology company in London is seeking a hands-on Senior Data Scientist. The role focuses on building and improving recommendation and personalization models for a large-scale streaming product. You will be responsible for delivering models from ideation through experimentation to production, collaborating closely with engineering and product partners. A strong emphasis on execution and impact is expected, along with opportunities to mentor others.
Senior Data Scientist in England employer: Christy Media Solutions
Contact Detail:
Christy Media Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best recommendation and personalisation models. This is your chance to demonstrate your hands-on experience and execution impact, which are key for this role.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data science fundamentals. Be ready to discuss your past projects and how you've collaborated with engineering and product teams. We want to see your thought process in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist in England
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've built or improved models in the past, especially if they relate to recommendation systems or personalisation.
Highlight Collaboration Skills: Since this role involves working closely with engineering and product teams, make sure to mention any collaborative projects you've been part of. We want to see how you can work well with others to deliver impactful results.
Focus on Execution and Impact: We’re looking for someone who gets things done! In your application, emphasise your ability to take ideas from concept to production. Share metrics or outcomes that demonstrate the impact of your work.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the Senior Data Scientist role. Mention specific skills and experiences that align with our job description, and apply through our website for the best chance!
How to prepare for a job interview at Christy Media Solutions
✨Know Your Models Inside Out
Make sure you can discuss the recommendation and personalisation models you've worked on in detail. Be ready to explain your thought process, the algorithms you used, and how you measured their success. This shows your hands-on experience and understanding of the role.
✨Showcase Collaboration Skills
Since the role involves working closely with engineering and product teams, prepare examples of past collaborations. Highlight how you communicated complex data concepts to non-technical stakeholders and how you contributed to team success.
✨Prepare for Technical Questions
Brush up on your technical skills and be ready for coding challenges or case studies related to data science. Practice explaining your approach to problem-solving and be prepared to discuss the trade-offs of different modelling techniques.
✨Emphasise Impact and Execution
Be ready to discuss specific projects where your work had a measurable impact. Use metrics to illustrate your contributions and how they aligned with business goals. This will demonstrate your focus on execution and the value you can bring to the company.