At a Glance
- Tasks: Join our team to analyse data and optimise advertising campaigns for global customers.
- Company: Amazon Advertising transforms connections between brands and customers through innovative solutions.
- Benefits: Enjoy a diverse workplace, flexible working options, and opportunities for personal growth.
- Why this job: Be part of a culture that values experimentation and creativity in a fast-paced environment.
- Qualifications: Experience in data analysis, machine learning, and scripting languages like SQL or Python required.
- Other info: This role offers a chance to work on large-scale systems impacting advertisers worldwide.
The predicted salary is between 28800 - 48000 £ per year.
How can Amazon improve the advertising experience for customers around the world? How can we help advertisers and customers find each other in a meaningful way? Amazon Advertising creates and transforms the connection between retailers/service providers and customers. Our teams strive to reinvent the way advertisers and agencies build brands and drive performance in their advertising. By using Amazon's foundation in e-commerce, we help brands connect with the right customers through creative solutions and formats across screens and devices, and in the physical world.
Amazon Advertising seeks a Data Scientist with strong Data Analysis skills to join the ADSP engineering team split across Edinburgh and London. We make Guidance products that help optimise our customer's advertising campaign workflows and performance. As a scientist on the team, you will be involved in many aspects of the process - from idea generation, business analysis and scientific research, through to development - giving you a real sense of ownership. The systems that you help to build will operate at massive scale to advertising customers around the world.
Our ideal candidate is an experienced Data Scientist who has a track record of performing analysis, applying statistical techniques and building basic ML models to solve real business problems, who has great leadership and communication skills, and who is motivated to achieve results in a fast-paced environment.
Key job responsibilities- Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
- Collaborate with software engineering teams to integrate successful experimental results into large-scale, highly complex Amazon production systems.
- Report results in a manner which is both statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment.
- Promote the culture of experimentation at Amazon.
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance.
- Experience applying theoretical models in an applied environment.
- Experience working as a Data Scientist.
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab).
- Experience in Python, Perl, or another scripting language.
- Experience in a ML or data scientist role with a large technology company.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
Data Scientist, ADSP: Guidance employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, ADSP: Guidance
✨Tip Number 1
Familiarise yourself with Amazon's advertising products and services. Understanding how they operate and the challenges they face will help you demonstrate your knowledge during interviews and show that you're genuinely interested in the role.
✨Tip Number 2
Brush up on your machine learning and statistical modelling skills. Be prepared to discuss specific projects where you've applied these techniques, as this will showcase your practical experience and problem-solving abilities.
✨Tip Number 3
Network with current or former employees of Amazon, especially those in data science roles. They can provide valuable insights into the company culture and the expectations for the position, which can help you tailor your approach.
✨Tip Number 4
Prepare to discuss your experience with collaboration and communication, as these are key aspects of the role. Think of examples where you've worked with cross-functional teams to achieve a common goal, as this will highlight your teamwork skills.
We think you need these skills to ace Data Scientist, ADSP: Guidance
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Data Scientist position at Amazon. Familiarise yourself with the key job responsibilities and the skills they are looking for.
Tailor Your CV: Customise your CV to highlight relevant experience in data analysis, machine learning, and statistical modelling. Use specific examples from your past work that demonstrate your ability to solve real business problems using data.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of Amazon's advertising goals. Mention how your skills align with their needs and express your enthusiasm for contributing to their team.
Prepare for Technical Questions: Anticipate technical questions related to data analysis tools and machine learning techniques. Be ready to discuss your experience with programming languages like Python or R, and prepare to explain your approach to solving complex data problems.
How to prepare for a job interview at Job Traffic
✨Showcase Your Analytical Skills
As a Data Scientist, you'll need to demonstrate your strong data analysis skills. Be prepared to discuss specific projects where you've applied statistical techniques and machine learning models to solve real business problems. Use concrete examples to illustrate your thought process and the impact of your work.
✨Understand Amazon's Advertising Ecosystem
Familiarise yourself with how Amazon Advertising operates and the challenges it faces. Research their products and services, especially those related to customer advertising experiences. This knowledge will help you articulate how your skills can contribute to their goals during the interview.
✨Prepare for Technical Questions
Expect technical questions related to data scripting languages like SQL and Python, as well as statistical modelling techniques. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data science interview questions can give you an edge.
✨Emphasise Collaboration and Communication
Highlight your ability to work collaboratively with software engineering teams and communicate complex results effectively. Share examples of how you've promoted a culture of experimentation in previous roles, as this aligns with Amazon's values and the responsibilities of the position.