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- Tasks: Create predictive models to analyse customer engagement for Prime Video.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on content investment decisions while working with cutting-edge technology.
- Qualifications: Experience in machine learning, data analysis, SQL, and Python required.
- Other info: Join a dynamic team where creativity and collaboration thrive.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in the UK is seeking a Data Scientist to develop scalable models for analyzing customer engagement on its streaming service. This role involves close collaboration with business stakeholders and data scientists to create predictive models that impact content investment decisions.
The ideal candidate should have experience in machine learning, data analysis tools, and scripting languages like SQL and Python. This position offers the chance to work in a dynamic environment where innovation is at the core.
Data Scientist - Forecasting & Insights for Prime Video employer: Amazon Jobs
Contact Detail:
Amazon Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Forecasting & Insights for Prime Video
✨Tip Number 1
Network like a pro! Reach out to current or former employees in similar roles on LinkedIn. 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 data analysis projects, especially those using SQL and Python. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data science interview questions and case studies. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role.
We think you need these skills to ace Data Scientist - Forecasting & Insights for Prime Video
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and data analysis tools. 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 Prime Video. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role involves scripting languages like SQL and Python, make sure to mention any specific projects where you’ve used these skills. We’re keen to see how you’ve applied your technical know-how in real-world scenarios.
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 Amazon Jobs
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning concepts and data analysis tools. Be ready to discuss your experience with SQL and Python, as well as any projects you've worked on that involved predictive modelling. This will show them you're not just familiar with the tools, but you can also apply them effectively.
✨Understand the Business Side
Since this role involves collaboration with business stakeholders, it’s crucial to understand how data science impacts content investment decisions. Do some research on Prime Video's current strategies and think about how your insights could influence their direction. This will demonstrate your ability to connect data with real-world applications.
✨Prepare for Technical Questions
Expect to face technical questions or even a coding challenge during the interview. Practice common data science problems and be prepared to explain your thought process clearly. This will help them see how you approach problem-solving and your proficiency in scripting languages.
✨Show Your Collaborative Spirit
Highlight your experience working in teams, especially with other data scientists or business units. Share examples of how you’ve successfully collaborated on projects in the past. This will reassure them that you can thrive in a dynamic environment where teamwork is key.
