At a Glance
- Tasks: Develop and deploy machine learning models that enhance customer experiences on Prime Video.
- Company: Join Amazon Science, a leader in innovation and technology.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology and career advancement.
- Why this job: Make a real impact on millions of customers with your research and insights.
- Qualifications: Experience in applied science and machine learning, with strong problem-solving skills.
The predicted salary is between 59400 - 72600 £ per year.
Amazon Science in London is seeking an Applied Scientist to join the Prime Video Commerce Insights team, developing and deploying customer-facing ML models at scale.
You will work with engineers and scientists to solve problems at massive scale, balancing objectives and positively impacting hundreds of millions of customers worldwide.
Your research will ship to production and influence decisions across subscriptions and transactions.
#J-18808-Ljbffr
Senior Applied Scientist, Commerce Insights in London employer: Amazon Science
Amazon Advertising is an exceptional employer, offering a dynamic work environment where innovation thrives and employee growth is paramount. As a Principal Applied Scientist in the Trusted Supply team, you will have the opportunity to lead cutting-edge research that directly impacts a multi-billion dollar business while collaborating with top-tier professionals in a culture that values diversity and scientific rigor. With access to vast resources and a commitment to employee development, Amazon provides a unique platform for meaningful contributions and career advancement in the fast-evolving field of computational advertising.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied Scientist, Commerce Insights in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Amazon Science!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Applied Scientist, Commerce Insights at Amazon Science.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Amazon Science.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Applied Scientist, Commerce Insights at Amazon Science, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Applied Scientist, Commerce Insights in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Amazon Science, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Amazon Science. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Amazon Science
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Amazon Science!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
