At a Glance
- Tasks: Develop advanced language tech for Alexa Shopping and enhance customer experiences.
- Company: Join Amazon Science in London, a leader in innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Make a real impact on multimodal shopping with cutting-edge technology.
- Qualifications: Master's degree and experience in ML/databases; Python and SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
Amazon Science in London is seeking a Data Scientist to develop cutting-edge language technology that powers Alexa for Shopping. This role requires a strong background in machine learning and analytics, focusing on improving multimodal shopping experiences and utilizing advanced data analysis techniques.
The successful candidate will be involved in measuring and enhancing conversational systems, designing experiments, and launching innovative features to optimize customer shopping experiences.
A Master's degree and prior experience in ML/databases are essential, along with proficiency in Python and SQL.
Data Scientist II — Multimodal NLP for Alexa Shopping employer: Amazon Science
Amazon Science in London offers an exceptional work environment for Data Scientists, fostering innovation and collaboration in the development of advanced language technology for Alexa Shopping. Employees benefit from a culture that prioritises continuous learning and professional growth, alongside competitive compensation and comprehensive benefits. The vibrant tech scene in London provides unique networking opportunities and access to cutting-edge resources, making it an ideal location for those looking to make a significant impact in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist II — Multimodal NLP for Alexa Shopping
✨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!
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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 Data Scientist II — Multimodal NLP for Alexa Shopping at Amazon Science.
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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.
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When you find a suitable opening like Data Scientist II — Multimodal NLP for Alexa Shopping 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 Data Scientist II — Multimodal NLP for Alexa Shopping
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.
