Senior Data Scientist

Amazon Video Limited

London, UK

Ref: 789273

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Amazon’s Prime Video is a premium on-demand video entertainment service that offers customers the greatest choice in what to watch from popular Prime Original TV shows (made by Amazon Studios) such as The Grand Tour, Tom Clancy’s Jack Ryan and the recent Golden Globe winning The Marvelous Mrs. Maisel to Prime Original Movies like the Oscar-winning Manchester by the Sea and The Salesman. The service also offers TV shows that are exclusively available for Prime members in each country such as American Gods, MR ROBOT and Outlander, and more recently live sport including the US Open tennis from 2018 and Premier League games from 2019. Beyond this content exclusivity, the service further differentiates from other video-on-demand services by offering Prime members the opportunity to subscribe to 60+ channels like Discovery, Starz, Eurosport Player and hayu and hundreds of thousands of additional titles to watch instantly with no extra apps to download or long term contracts. Prime Video is at the forefront of the entertainment industry and growing fast - now available in more than 240 countries and territories worldwide – and we work in a dynamic, and exciting environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on..

As a Data Scientist in the Commercial Insights Team you will be a thought partner of the Amazon Video EU marketing team, based in Central London. The marketing team is responsible for driving customer growth and engagement with Amazon Video through a broad range of marketing channels and relies on making agile decisions based on customer understanding and campaign performance.

You will be responsible for building and scaling innovative models to solve complex business challenges, relating to customer acquisition and engagement initiatives as well as contributing to marketing strategies for current and future products.
The successful candidate will have excellent data manipulation skills in SQL, experience of advanced modelling techniques, as well as good communication and stakeholder management skills. Working closely with internal clients is a core function of the role.

In order to scale in step with this rapidly evolving business, the Commercial Insights team is increasingly focused on automation and creating self-serve platforms to make its models and insight available throughout Amazon Video. In addition we value curiosity to learn and a fearless approach to evaluating and adopting new analytical technologies, methods and approaches.

Key Skills:

  • Ability to translate business problems into analytical tasks and communicate results back to a business audience
  • Fluency in using SQL to interrogate TB-scale relational databases to build data sets and answer business questions
  • Expertise in using tools such as SAS, R or Python to build predictive models using regressions and machine learning techniques.
  • Strong statistical skills

This position will suit a Data Scientist or Machine Learning professional who has experience working in rapidly evolving digital business models. We welcome the ability to bring data to life, conveying insight in a simple and impactful way. Think effective, efficient and elegant.

BASIC QUALIFICATIONS

For this role we expect:

  • Educated to degree level in a numerical discipline
  • Experience in analytical or business intelligence teams developing sound analytics-based solutions to business problems
  • Strong interpersonal and communication skill
  • Ability to manage multiple projects to strict deadlines

PREFERRED QUALIFICATIONS

Desirable:

  • PhD or Masters in a quantitative field such as computer science, economics, statistics, physics or mathematics
  • Experience working with marketing stakeholders

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. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

All offers are conditional on references, verification of the right to work in the UK, and successful background screening check. This will include previous employment verification, qualification verification (if relevant) and a basic criminal check. Further details of this policy/procedure will be sent to you along with your conditional offer.


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