Do you want to be part of the next big thing when it is still Day 0?

Our Global Customer Experience Strategy team aims to help achieve Amazon’s mission: to be Earth's Most Customer-Centric Company. As part of this mission, our London team is now looking for a Data Scientist to be part of building and scaling a new global service focused on Digital Marketing Insights. The role can be based in the UK (London), or in the US (NYC). We are focused on driving impact across multiple geographies, categories and domains from Prime Video and Alexa to Apparel and Books! While we are a small team, we have ambitious goals to answer some of the most interesting (and ambiguous) questions at Amazon and are excited by our ability to drive large-scale impact.

Job responsibilities

As a Data Scientist on our team, you will work with stakeholders across the organization to improve our marketing strategy based on what is important to our customers. You will have the opportunity to apply a variety of machine learning and predictive algorithms on some of the world's largest data sets, and influence the long-term evolution of our science roadmap. You will need to be entrepreneurial, able to deal with ambiguity and work in a highly collaborative environment. You will identify specific and actionable opportunities to solve complex business problems, and collaborate with multiple teams to drive change. You need to be a sophisticated user of advanced quantitative techniques and data visualization, and an expert at synthesizing and communicating insights and recommendations to both technical and non-technical audiences.

Are you up for the challenge?

BASIC QUALIFICATIONS

• Master's degree in highly quantitative field (Computer Science, Machine Learning, Operational Research, Mathematics, Statistics) or equivalent experience
• 2+ years in a research science, ML, or data scientist role and a track record of strong statistical analysis and building machine or deep learning models
• 2+ years of experience in using data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• Highly proficient in SQL and data manipulation techniques
• Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
• Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause and effect relationships
• Experienced in using multiple data science methodologies to solve complex business problems
• Ability to work in an ambiguous environment where opportunities are not clearly defined
• Excellent written and verbal communication skills. Ability to communicate complex findings in a simple way, with excellent data visualization skills.

PREFERRED QUALIFICATIONS

• Master's degree or PhD in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with 4+ years of working experience as a Data or Research Scientist.
• Experience working with marketing teams in at least one of the following areas: digital (performance) marketing, CRM, customer analytics, econometrics or ATL marketing.
• Combination of deep technical skills and business savvy to interface with all levels and disciplines within our and our customer’s organizations.