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- Tasks: Develop predictive models and analyse engagement metrics using large datasets.
- Company: Leading technology company in the digital content and entertainment industry.
- Benefits: Competitive salary, flexible working hours, and opportunities for innovation.
- Why this job: Join a dynamic team and make an impact in the exciting world of digital content.
- Qualifications: Experience in machine learning, data analysis tools, and proficiency in SQL or Python.
- Other info: Great opportunity for career growth and to work with cutting-edge technology.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company is seeking a Data Scientist to develop predictive models and analyze engagement metrics. The successful candidate will work with large datasets and utilize AWS for deploying models.
Key qualifications include:
- Experience in machine learning
- Data analysis tools
- Proficiency in SQL or Python
This role offers an opportunity to innovate in the exciting industry of digital content and entertainment.
Forecasting Data Scientist, Content & Engagement Analytics in City of Westminster employer: Amazon.com, Inc
Contact Detail:
Amazon.com, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forecasting Data Scientist, Content & Engagement Analytics in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and data analysis projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your machine learning concepts and be ready to discuss how you've used SQL or Python in past projects. Practice makes perfect, so consider mock interviews with friends.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Forecasting Data Scientist, Content & Engagement Analytics in City of Westminster
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 your proficiency in SQL or Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about predictive modelling and how you can contribute to our team. Let us know what excites you about working in digital content and entertainment.
Showcase Relevant Projects: If you've worked on any projects involving large datasets or AWS, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work that demonstrate your expertise.
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.com, Inc
✨Know Your Data
Make sure you brush up on your data analysis skills. Be prepared to discuss your experience with large datasets and how you've used SQL or Python in past projects. Having specific examples ready will show that you can handle the technical demands of the role.
✨Master Machine Learning Concepts
Since the job involves developing predictive models, it's crucial to have a solid understanding of machine learning algorithms. Be ready to explain your approach to model selection and evaluation, and maybe even share a success story where your model made a significant impact.
✨Familiarise Yourself with AWS
As this role requires deploying models on AWS, it’s a good idea to get comfortable with the platform. If you’ve used AWS in previous roles, be prepared to discuss specific services you’ve utilised and how they contributed to your projects.
✨Engage with the Company’s Content
Take some time to explore the company’s digital content and engagement metrics. Understanding their products and audience will not only help you answer questions more effectively but also demonstrate your genuine interest in the role and the company.
