Data Scientist , ADSP: Campaign & Creative

Data Scientist, ADSP: Campaign & Creative

DESCRIPTION

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

1. Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
2. Collaborate with software engineering teams to integrate successful experimental results into large-scale, highly complex Amazon production systems.
3. Report results in a manner which is both statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment.
4. Promote the culture of experimentation at Amazon.

1. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance.
2. Experience applying theoretical models in an applied environment.
3. Experience working as a Data Scientist.
4. Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab).

1. Experience in Python, Perl, or another scripting language.
2. Experience in a ML or data scientist role with a large technology company.