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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 through innovative data science.
- Qualifications: Experience in data science and strong collaboration skills required.
- Other info: Exciting opportunity to mentor others and grow your career.
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 - Personalization & Recommendations in City of London 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 - Personalization & Recommendations in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work on recommendation systems or personalisation models. We want to see your thought process and the impact of your projects.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data science concepts, algorithms, and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen those skills.
✨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 that extra step to connect with us directly.
We think you need these skills to ace Senior Data Scientist - Personalization & Recommendations in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in building recommendation and personalisation models. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects!
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 streaming product. Let us know what excites you about the role and our company.
Showcase Your Impact: When detailing your previous work, focus on the impact of your contributions. We love to see quantifiable results, so if you improved a model’s performance or increased user engagement, make sure to include those figures!
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 shows us you’re keen to join our team!
How to prepare for a job interview at Christy Media Solutions
✨Know Your Models Inside Out
Make sure you can discuss various recommendation and personalization models in detail. Be prepared to explain how you've built, tested, and deployed these models in the past. This shows your hands-on experience and understanding of the entire process.
✨Showcase Collaboration Skills
Since the role involves working closely with engineering and product teams, be ready to share examples of successful collaborations. Highlight how you’ve communicated complex data concepts to non-technical stakeholders and how you’ve contributed to team success.
✨Prepare for Technical Questions
Brush up on your technical skills, especially around data science tools and programming languages relevant to the role. Expect questions that test your problem-solving abilities and your approach to experimentation and model evaluation.
✨Demonstrate Impact and Execution
Be ready to discuss specific projects where your work had a measurable impact. Use metrics to illustrate your success and show how your contributions have driven results. This will resonate well with the emphasis on execution and impact in the job description.
